CN102340621A - Video image processing device and video image processing method - Google Patents
Video image processing device and video image processing method Download PDFInfo
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- CN102340621A CN102340621A CN2011101377552A CN201110137755A CN102340621A CN 102340621 A CN102340621 A CN 102340621A CN 2011101377552 A CN2011101377552 A CN 2011101377552A CN 201110137755 A CN201110137755 A CN 201110137755A CN 102340621 A CN102340621 A CN 102340621A
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Abstract
The invention provides a video image processing device and a video image processing method, which are capable of performing proper video image correction according to noise detection amount of video image signals, and are irrelevant to characteristics of an amplifier depending on amplification coefficients. The video image processing device (1) comprises an amplifier configured to amplify signal intensity of a broadcast signal; a detector configured to detect a noise of the video image signal obtained via demodulation of the broadcast signal with the signal intensity amplified by the amplifier, and to output a noise detection value; a controller configured to determine a correction value used for video image processing according to the amplification coefficients and the noise detection value; and a processor configured to perform correction processing of the video image signal based on the correction value.
Description
The reference of related application
The present invention is based on and require the priority of the Japanese patent application submitted on July 14th, 2010 2010-159726 number, its full content is hereby expressly incorporated by reference.
Technical field
The present invention relates to video image processing device and method of video image processing.
Background technology
Usually known video image processing device is used for the video image calibration function (for example, referring to patent documentation 1) of video signal according to the noise measuring amount control of video signal.
Usually, be included in the degree that is used to detect the noisiness of video signal and is used for regulating the noise reduction such as the video image calibration function that is used for video signal in the video image processing device of television receiver according to the detection limit of noise.Therefore, can prevent using of excessive noise reduction, and can prevent non-natural video frequency image such as the conditions of streaking that moves image.In addition, the video image calibration function that is used for video signal is also controlled the parameter that is used for regulating such as gamma the video image correction of (gamma adjustment) according to the noise measuring level of video signal.As a result, the difference that between video signal that noise reduces and the undiminished video signal of noise, does not have the image quality correction effect.
Summary of the invention
The purpose of this invention is to provide video image processing device and method of video image processing, it can be carried out suitable video image according to the noise measuring level of video signal and proofread and correct, and irrelevant with the amplifier characteristic that depends on amplification coefficient.
According to an aspect, a kind of video image processing device is provided, comprising: amplifier, the signal strength signal intensity that is configured to amplify transmit; Detector is configured to detect from through signal strength signal intensity being exaggerated the noise that transmit that device amplifies carries out the video signal that demodulation obtains, and is configured to the output noise detected value; Controller is configured to confirm to be used for the corrected value that video image is handled according to the amplification coefficient and the noise measuring value of amplifier; And processor, be configured to video signal carried out treatment for correcting based on corrected value.
According to aforementioned aspect, video image processing device can be carried out suitable video image according to the noise measuring level of video signal and proofread and correct, and irrelevant with the amplifier characteristic that depends on amplification coefficient.
Description of drawings
With the ordinary construction that illustrates and describes the various characteristics that realize execution mode.Provide accompanying drawing and relevant description illustrating execution mode, and be not limited to the scope of these execution modes.
Fig. 1 shows the diagrammatic sketch according to the outward appearance instance of the video image processing device of first execution mode.
Fig. 2 shows the block diagram through the structure instance of the video image processing of video image processing device execution and its control system.
Fig. 3 shows the sketch map of each bar parameter information instance.
Fig. 4 A and Fig. 4 B show the sketch map of the instance of each bar noise parameter corresponding informance.
Fig. 5 A shows the noise parameter corresponding informance through utilizing noise rating number(NRN to describe.
Fig. 5 B shows the curve chart of the relation between noise measuring value and the noise rating number(NRN.
Fig. 6 shows the sketch map of the instance of each bar noise parameter corresponding informance.
Fig. 7 be the input electric field of RF signal is shown and the noise measuring value that obtains through noise detector between the curve chart of relation.
Fig. 8 A and Fig. 8 B show the sketch map of the exemplary details of video signal.
Fig. 9 is the diagrammatic sketch that is used to describe the operational instances of DNR processor.
Figure 10 is the diagrammatic sketch that is used to describe the operational instances of booster (enhancer).
Figure 11 is the diagrammatic sketch that is used to describe the operational instances of dynamic gamma adjuster.
Figure 12 is the diagrammatic sketch that is used to describe the operational instances of static gamma corrector.
Figure 13 shows the flow chart of the operational instances of carrying out through video image processing device.
Figure 14 shows the sketch map of variation of the method for the amplification coefficient that is used to change RF booster (booster).
Figure 15 is the sketch map that illustrates according to the instance of each bar noise parameter corresponding informance of second execution mode.
Embodiment
Fig. 1 shows the diagrammatic sketch according to the outward appearance instance of the video image processing device of first embodiment of the invention.
Video image processing device 1 is as the device such as television receiver; This device is used for from the outside receiving RF (radio frequency) signal as transmit via antenna 10 (referring to Fig. 2), and is used for the display video image through handling the video signal that obtains through the RF signal that demodulation received.Video image processing device 1 comprises: display unit 2 comprises such as the parts that are used at the LCD of its front surface display video image (LCD) panel; And light receiving unit 3, be used to receive the far infrared that transmits from remote control 4.
In addition, described as after a while, video image processing device 1 inside comprises: the RF booster 11A (referring to Fig. 2) that is used for amplification RF signal; Be used to detect the noise detector 18 (referring to Fig. 2) of the noise level of video signal; DNR (digital noise reduction) processor 13 (referring to Fig. 2) with noise reduction function; And functional unit with video image calibration function.Therefore, video image processing device 1 is carried out noise reduction function and video image calibration function according to state and the noise measuring level of RF booster 11A.
Video image processing device 1 also is provided with on its back of the body surface such as antenna terminal, outside input terminal and the parts that comprise the operating unit of unshowned a plurality of switches.In the body interior of video image processing device 1, the electronic unit such as MPU (microprocessing unit), RAM (random access memory) and ROM (read-only memory) is set.
Remote control 4 has: a plurality of unshowned switches are used to carry out the operation of regulating such as electric power starting, power-off, channel switching and volume; And booster diverter switch 4a, be used to carry out the operation of the value of magnification of the RF booster 11A that is used to change video image processing device 1.Therefore, remote control 4 transmits the operation signal in response to the operation that these switches are carried out via far infrared.
Fig. 2 shows the block diagram through the structure instance of the video image processing of video image processing device 1 execution and its control system.
Video image processing device 1 has: antenna 10; Tuner 11; AD converter/YC separation/color demodulation circuit 12; DNR processor 13; Booster 14; Dynamic gamma adjuster 15; RGB transducer 16; Static gamma corrector 17; Noise detector 18; And MPU 19.
For example, antenna 10 is the antennas such as the wire antenna that is used to receive HUF (ultra-high frequency) and/or VHF (very high-frequency) wave band, or is used to receive the parabolic antenna of satellite band.
In order when the RF signal that receives through antenna 10 has weak electric field, to improve the S/N ratio, tuner 11 has: the RF booster 11A that is used for amplification RF signal and the RF signal 20 that is used to export gained; And the signal that is used for selecting desired channel from RF signal 20 is with this signal of demodulation and be used to export the selection/demodulating unit 11B of the video signal 21 of gained.
In addition; In order to prevent to have the caused asynchronism that causes by distortion of the RF signal of highfield and the problem of interference free performance deterioration such as amplification; Therefore RF booster 11A has the gain control function that is used to provide the amplification coefficient that reduces, and allows the booster diverter switch 4a of amplification coefficient through remote control 4 between common amplification coefficient and the amplification coefficient that reduces, to change.
AD converter/12 pairs of video signals of YC separation/color demodulation circuit 21 are carried out analog-digital conversion, YC separates and color demodulation, thereby convert video signal 21 into Y/ color difference signal 22, and the signal of output gained.
DNR processor 13 is eliminated noise through carrying out frame difference to handle from Y/ color difference signal 22, and the Y/ color difference signal 23 that is eliminated noise of output gained.
14 pairs of Y/ color difference signals of booster, 23 execution edges strengthen and/or details strengthens, and the Y/ color difference signal 24 that is performed edge enhancing and/or details enhancing of output gained.
16 pairs of Y/ color difference signals of RGB transducer 25 are carried out aberration/RGB conversion, and the rgb signal 26 of output gained.
Noise detector 18 detects from the noise level of the video signal 28 of AD converter/YC separation/color demodulation circuit 12 outputs, and the noise level that output is detected is as noise measuring value 29.
MPU 19 controls RF booster 11A through control signal 31, and controls DNR processor 13, booster 14, dynamic gamma adjuster 15 and static gamma corrector 17 through control signal 30.Under the operation of the booster diverter switch 4a of remote control 4, light receiving unit 3 receives the operation signal corresponding to this operation via far infrared, and operation signal 32 inputs to MPU19; Then, MPU 19 output control signals 31 are with the amplification coefficient of control RF booster 11A.
In addition, MPU 19 parameter information 190 and noise parameter corresponding informance 191 in internal storage.Parameter information 190 is the set point information that are used for DNR processor 13, booster 14, dynamic gamma adjuster 15 and static gamma corrector 17, and noise parameter corresponding informance 191 is by the noise measuring value 29 of noise detector 18 output and parameter information 190 information associated with each other.
Fig. 3 shows the sketch map of many parameter informations 190 instances.
Parameter information 190 comprises: the parameter group hurdle of the title of expression parameter combinations; The adaptation parameter hurdle of the setting of expression DNR processor 13, booster 14, dynamic gamma adjuster 15 and static gamma corrector 17; And expression is used for the setpoint column of the concrete set point of adaptation parameter.
Fig. 4 A and Fig. 4 B show the sketch map of the instance of each bar noise parameter corresponding informance.
Shown in Fig. 4 A, noise parameter corresponding informance 191A comprises: expression is through the noise measuring value hurdle of the noise measuring value of noise detector 18 detections; And expression is according to the adaptation parameter group hurdle of the parameter group of the parameter information 190 of noise measuring value application.
In addition, shown in Fig. 4 B, with curve chart form display noise parameter corresponding informance 191A, wherein, the transverse axis of curve chart is represented the noise measuring value, and the longitudinal axis of curve chart is represented the adaptation parameter group.In curve chart, see variation progressively through the border of noise measuring value a, b, c, d, e, f and g.
In this embodiment, the noise measuring value is not through concrete numeric representation, but representes through a, b, c, d, e, f and g, because these values change along with the amplification coefficient of RF booster 11A.Below its reason will be described.
Fig. 5 A shows through the noise parameter corresponding informance 191B that utilizes noise rating number(NRN to describe, and Fig. 5 B is the curve chart that the relation between noise measuring value and the noise rating number(NRN is shown.
When design video image processing device 1; The adaptation parameter group is not distributed to the noise measuring value; But distribute to " noise rating number(NRN ", it is through to mode such as the designer's that carries out such as the characteristic of the caused noise of video image displayed on display unit 2 visual inspection and definite value.
In addition, shown in Fig. 5 B, the corresponding relation between noise rating number(NRN and the noise measuring value representes that the amplification coefficient according to RF booster 11A is height or the low characteristic that changes.Therefore, under the situation of weak electric field, when the amplification coefficient of RF booster 11A is high, reduce with respect to noise measuring value noise rating number(NRN; On the other hand, under the situation of highfield,, the amplification coefficient of RF booster 11A reduces when hanging down with respect to noise measuring value noise rating number(NRN.
Therefore; When the relation of noise rating number(NRN/noise measuring value is applicable to each the noise parameter corresponding informance 191B in the low amplification coefficient of high amplification coefficient and RF booster 11A of RF booster 11A, obtain below noise parameter corresponding informance 191C with description.
Fig. 6 is the sketch map that the instance of many noise parameter corresponding informance 191C is shown.
Noise parameter corresponding informance 191C comprises: expression is through the noise measuring value hurdle of the noise measuring value of noise measuring value 18 acquisitions; The noise rating number(NRN hurdle and the adaptation parameter group hurdle that are used for the high amplification coefficient of RF booster 11A; And the noise rating number(NRN hurdle and the adaptation parameter group hurdle that are used for the low amplification coefficient of RF booster 11A.
Operational instances according to the video image processing device of first embodiment of the invention is divided into: the basic operation of (1) video image processing device; And (2) carry out noise through the amplification coefficient that changes the RF booster and reduce and the video image correct operation, and therefore, will describe basic operation and noise reduction and video image correct operation respectively referring to figs. 1 through Figure 13 below.
Be the instance of the basic operation of video image processing device below.
At first, the RF booster 11A of tuner 11 amplifies the RF signal that is received by antenna 10, and the RF signal 20 of output gained.
Fig. 7 show the input electric field of RF signal and the noise measuring value that obtains through noise detector 18 between the curve chart of relation.
Tuner 11 produces certain noise in detector circuit etc.; Therefore, when the RF signal had weak electric field, noise level was higher relatively with respect to the RF signal.Therefore, when through RF booster 11A the RF signal being amplified to certain level, noise also is exaggerated, and therefore, the noise measuring value that obtains through noise detector 18 will be inversely proportional to the input electric field of RF signal.
Next, selection/demodulating unit 11B selects the signal of desired channel, the selected signal of demodulation, and the video signal 21 of output gained from RF signal 20.
Then, AD converter/12 pairs of video signals of YC separation/color demodulation circuit 21 are carried out analog-digital conversion, YC separates and color demodulation, thereby convert video signal 21 into Y/ color difference signal 22, and the Y/ color difference signal 22 of output gained.In addition, AD converter/YC separation/color demodulation circuit 12 exports the video signal of being imported 21 to noise detector 18 to be used for noise measuring as video signal 28.
Then, noise detector 18 detects from the noise level of the video signal 28 of AD converter/YC separation/color demodulation circuit 12 outputs, and the noise level that output detects is as noise measuring value 29.Particularly, noise detector 18 detects the noise of during the vertical flyback (vertical retrace) of video signal 28, observing.
Fig. 8 A and Fig. 8 B show the sketch map of the exemplary details of video signal 28.
In noise detector 18, be included in T during the vertical flyback
vIn and during being provided with gating (gate) during the line 7 of the line that comprises vertical synchronizing signal 4 after 6 T
g, apply signal that gating obtains during this gating through low pass filter through making, and integration and the signal amplitude that detects Tg during the gating, thereby the noise measuring value obtained.Noise detector 18 field is one by one carried out aforesaid integration and detection (field-by-field), and confirms a plurality of mean value in order to obtain stable noise measuring value.
Then, DNR processor 13 is eliminated noise from Y/ color difference signal 22 through carrying out frame difference to handle, and the Y/ color difference signal 23 of the noise that has been eliminated of output gained.
Fig. 9 is the diagrammatic sketch that is used to describe the operational instances of DNR processor 13.
In DNR processor 13; From importing 130 to the current signal of original image buffer 131 input when (hereinafter is called " current demand signal "); The current demand signal that subtracter 133 generates original image buffers 131 with input to intermediate buffer 132 and postponed the difference (poor) between the inhibit signal of 1 frame, and amplification coefficient adjuster 134 amplification (decay) these difference; Then, adder 135 increases the difference of gained to the current demand signal of original image buffer 131, thereby obtains correction signal as output 136.
It should be noted that input Y/ color difference signal 22 as input 130, and output Y/ color difference signal 23 is as output 136.In addition, the correction signal that obtains through adder 135 exports parallel therewith intermediate buffer 132 to.
In DNR processor 13, the amplification coefficient etc. of regulating amplification coefficient adjusters 134 through MPU 19 as adaptation parameter " DNR gain " (Fig. 3).When amplification coefficient increased, random noise reduced and the image retention apparition of video image; Therefore, when the noise measuring value was low, amplification coefficient reduced usually.
Then, 14 pairs of Y/ color difference signals of booster, 23 execution edges strengthen and/or details strengthens, and the Y/ color difference signal 24 that is performed edge enhancing and/or details enhancing of output gained.
Figure 10 is the diagrammatic sketch that is used to describe the operational instances of booster 14.
In booster 14; When importing 140 input signals; 141 pairs of signals of second-order differential device are carried out second-order differential; Amplification coefficient adjuster 142 amplifies the signal of (decay) gained, and adder 143 adds or deducts the signal of amplifications (decay) from input signal to input signal then, thereby the acquisition correction signal is as exporting 144.
It should be noted that input Y/ color difference signal 23 as input 140, and output Y/ color difference signal 24 is as output 144.
When adding through adder 143 execution, booster 14 is as the edge (for example, profile) of booster with the enhancing video image.On the other hand, when subtracting calculation through adder 143 execution, booster 14 is as the edge of coring (coring) device with fuzzy video image.
In booster 14, regulate through MPU 19 amplification coefficient adjusters 142 amplification coefficient and adder 143 add and subtract between the calculation switching as adaptation parameter " booster gain " and " coring gain " (Fig. 3).When amplification coefficient increases, can increase the effect of booster or coring device.When the effect of booster increased, noise was tangible; Therefore, when the noise measuring value was high, the effect that reduces booster usually was to increase the effect of coring device.
Then, dynamic gamma adjuster 15 improves the contrast of Y/ color difference signal 24, and the Y/ color difference signal 25 that is enhanced contrast of output gained.
Figure 11 is the diagrammatic sketch that is used to describe the operational instances of dynamic gamma adjuster 15.
In dynamic gamma adjuster 15; When importing 150 input signals; Video signal histogram analysis device 151 carries out histogram analysis with respect to brightness value to the distribution of pixel quantity, and 152 selections of template data selector are corresponding to histogram analysis result's template; Then, gammate 153 is carried out Gamma correction according to the template of selecting to input signal, thereby obtains correction signal as output 154.From the distribution of 0-255LSB, template data selector 152 is selected template based on the brightness value of maximization pixel quantity.For example, the amplification coefficient that the gamma characteristic of confirming through template is used to have the brightness value of maximum distribution is set to high level.
It should be noted that input Y/ color difference signal 24 as input 150, and output Y/ color difference signal 25 is as output 154.
In dynamic gamma adjuster 15, the amplification coefficient etc. of regulating gammates 153 through MPU 19 as adaptation parameter " dynamic gamma gain " (Fig. 3).When amplification coefficient increases, be tangible from the noise of brightness value gained with maximum distribution; Therefore, when the noise measuring value is high, reduce amplification coefficient usually to weaken the effect of Gamma correction.
Then, 16 pairs of Y/ color difference signals of RGB transducer 25 are carried out aberration/RGB conversion, and the rgb signal 26 of output gained.
Then, static gamma corrector 17 is carried out panel gamma characteristic according to the panel characteristics of display unit 2 to rgb signal 26 and is proofreaied and correct, and the rgb signal 27 of output gained.
Figure 12 is the diagrammatic sketch that is used to describe the operational instances of static gamma corrector 17.
In static gamma corrector 17; When importing 170 input signals from RGB; The template that template data selector 171 is selected corresponding to the brightness value (0-255LSB) of input signal; Gammate 172 is carried out Gamma correction according to the template of selecting to input signal then, thereby obtains correction signal as RGB output 173.Template data selector 171 is from order to proofread and correct such as the characteristic of the display element of the liquid crystal panel of display unit 2 and select template the template of preparing.
It should be noted that input rgb signal 26 as input 170, and output rgb signal 27 is as output 173.
In static gamma corrector 17, the amplification coefficient etc. of regulating gammates 172 through MPU 19 as adaptation parameter " static gamma gain " (Fig. 3).When amplification coefficient reduced, gamma characteristic approached linear forms, and made amplification coefficient consistent (unification) with respect to the RGB input signal, reduced noise thus.Therefore, when the noise measuring value is high, reduce amplification coefficient usually so that gamma characteristic near linear forms.
Then, display unit 2 shows the rgb signal 27 of input on liquid crystal panel.
Be to reduce and the video image correct operation below through the noise that the amplification coefficient that changes the RF booster is carried out.
At first, by the booster diverter switch 4a of user's operating and remote controlling device 4 time, operation signal inputs to video image processing device 1 from remote control 4 via far infrared.
The light receiving unit 3 of video image processing device 1 receives the operation signal of far infrared, and the output function signal is to MPU 19.
Figure 13 shows the flow chart of the operational instances of carrying out through video image processing device 1.
At first, when receiving the operation signal (S1 " being ") of the amplification coefficient that is used for changing RF booster 11A from light receiving unit 3, MPU 19 transmits control signals 31 to RF booster 11A.Therefore, when the current amplification coefficient of RF booster 11A is when high level, amplification coefficient is changed into low level, and when the current amplification coefficient of RF booster 11A when being low-level, amplification coefficient is changed into high level (S2).
Then, MPU 19 receives noise measuring value 29 (S3) from noise detector 18, and confirms adaptation parameter group (S4) based on noise parameter corresponding informance 191C shown in Figure 6 according to amplification coefficient and the noise measuring value 29 of RF booster 11A.For example, when the amplification coefficient " height " of RF booster 11A and noise measuring value 29 are " 35 ", confirm that " B parameter " is as the adaptation parameter group.
Subsequently, according to based on parameter information shown in Figure 3 190 determined parameter group, MPU 19 confirms the parameter (S5) of DNR processors 13, booster 14, dynamic gamma adjuster 15 and static gamma corrector 17.
For example; When the adaptation parameter group is " B parameter "; The DNR of DNR processor 13 gain is set to " 0 ", and the gain of the booster of booster 14 is set to " 10 ", and the coring gain of booster 14 is set to " 0 "; The dynamic gamma gain of dynamic gamma adjuster 15 is set to " 10 ", and the static gamma gain of static gamma corrector 17 is set to " 10 ".
Then, MPU 19 transmits control signal 30 to DNR processors 13, booster 14, dynamic gamma adjuster 15 and static gamma corrector 17; Thus, the adaptation parameter of DNR processor 13, booster 14, dynamic gamma adjuster 15 and static gamma corrector 17 is set to the value of in step S5, confirming (S6).
For example it should be noted that, for every frame of video signal regular execution in step S3 and S4 (regularly).
According to the first above-mentioned execution mode, confirm the adaptation parameter group based on noise parameter corresponding informance 191C and according to amplification coefficient and the noise measuring value 29 of RF booster 11A.Therefore, even when the change owing to the amplification coefficient of RF booster 11A causes the change of frequency characteristic, interference free performance etc., also can be worth 29 and carry out stable video image and proofread and correct according to noise measuring.
Should note; In noise parameter corresponding informance 191C; Situation for the amplification coefficient of high situation of the amplification coefficient of RF booster 11A and RF booster 11A is low (is for example used identical adaptation parameter group hurdle; Represent that for noise measuring value hurdle " below 40 " and high situation and the noise measuring value hurdle of amplification coefficient represent " 40 to 50 " and the low situation of amplification coefficient, the adaptation parameter group is " B parameter "), but can prepare different values to set in more detail for these situation.
Figure 14 shows the sketch map of variation of the method for the amplification coefficient that is used to change RF booster 11A.
Can realize the gain control function of RF booster 11A, make that the choice box 201 that also is presented on the menu 200 among the display image 2A on the display unit 2 through use is selected amplification coefficient except booster diverter switch 4a.It should be noted that to provide 2 optional values, and gain control function can be used for amplification coefficient is changed between set-point and " 0 ".Alternatively, option is not limited to 2 values, and gain control function can be used for from by comprising that the option that a plurality of values of value provide more than 3 selects.
Figure 15 shows the sketch map of the instance of many noise parameter corresponding informance 191D second embodiment of the invention.It should be noted that in the following description to have with the parts identical construction of first execution mode and the parts of function and will give identical reference number.
Noise parameter corresponding informance 191D comprises: the noise measuring value hurdle of the noise measuring value that expression obtains through noise detector 18 when the amplification coefficient of RF booster 11A hangs down; And the noise measuring value hurdle of expression noise measuring value through noise detector 18 acquisitions when the amplification coefficient of RF booster 11A is high; And adaptation parameter group hurdle.
The difference of the noise parameter corresponding informance 191C of the noise parameter corresponding informance 191D and first execution mode as shown in Figure 6 is, for the high amplification coefficient of RF booster 11A and the low amplification coefficient of RF booster 11A are set the noise measuring value separately.
The MPU 19 that is similar to according to the video image processing device 1 of first execution mode according to the MPU 19 of the video image processing device 1 of second execution mode operates.Especially, in the step S4 of Figure 13, also confirm adaptation parameter group, executable operations thus based on noise parameter corresponding informance 191D and according to amplification coefficient and the noise measuring value 29 of RF booster 11A according to the MPU 19 of second execution mode.
According to the second above-mentioned execution mode, except the effect of first execution mode, can also reduce the number of adaptation parameter group, thus can be with simpler mode embodiment of the present invention.
Note, the invention is not restricted to aforementioned embodiments, and can carry out various modifications, only otherwise deviate from scope of the present invention.For example, can be implemented in DNR processor 13, booster 14, dynamic gamma adjuster 15, RGB transducer 16 and the static gamma corrector of using in the aforementioned embodiments 17 through software.
Though described specific implementations, these execution modes are only with the mode oblatio of example, and are not intended to limit the scope of the invention.In fact, the method and system of novelty described herein can be realized with other various forms; In addition, can carry out various omissions, replacement and the change of method and system form described herein, only otherwise deviate from spirit of the present invention.Accompanying claims and equivalent thereof are intended to comprise these forms or modification, as long as they fall within scope of the present invention and the spirit.
Claims (8)
1. video image processing device comprises:
Amplifier, the signal strength signal intensity that is configured to amplify transmit;
Detector is configured to from through signal strength signal intensity is carried out the video signal detection noise that demodulation obtains by the said transmit that said amplifier amplifies, and is configured to the output noise detected value;
Controller is configured to confirm to be used for the corrected value that video image is handled according to the amplification coefficient and the said noise measuring value of said amplifier; And
Processor is configured to based on said corrected value said video signal carried out treatment for correcting.
2. video image processing device according to claim 1, wherein,
Said video image processing device also comprises the selection module, is configured to select from a plurality of preset options the signal strength signal intensity amplification coefficient of said amplifier.
3. video image processing device according to claim 1 and 2, wherein,
The corresponding informance that said controller is associated with the said noise measuring value that is used for each amplification coefficient based on said corrected value and change the said corrected value of said processor.
4. video image processing device according to claim 1 and 2, wherein,
The corresponding informance that said controller is associated with the said corrected value that is used for each amplification coefficient based on said noise measuring value and change the said corrected value of said processor.
5. video image processing device according to claim 1 and 2, wherein,
Said processor increases said video signal to said video signal according to said corrected value inter-frame difference to be reducing noise from it, thereby said video signal is carried out said treatment for correcting.
6. video image processing device according to claim 1 and 2, wherein,
Said processor is carried out at least a in handling of edge enhancement process, dynamic gamma treatment for correcting and static Gamma correction according to said corrected value to said video signal, so that said video signal is carried out said treatment for correcting.
7. method of video image processing comprises:
Amplify the signal strength signal intensity of transmit;
The said transmit that signal strength signal intensity is exaggerated is demodulated into video signal;
Detect the noise of said video signal; And
According to the amplification coefficient of the signal strength signal intensity that is used for said video signal and the noise of detected said video signal said video signal is carried out treatment for correcting.
8. video image processing device comprises:
Amplifier, the signal strength signal intensity that is configured to amplify transmit;
Detector is configured to from through signal strength signal intensity is carried out the video signal detection noise amount that demodulation obtains by the said transmit that said amplifier amplifies;
Processor is configured to the noisiness that is detected said video signal carried out treatment for correcting according to the amplification coefficient of said amplifier; And
Select module, be configured to allow the user to change said amplification coefficient.
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US20050212972A1 (en) * | 2004-03-26 | 2005-09-29 | Kabushiki Kaisha Toshiba | Noise reduction device and television receiver |
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JP3818812B2 (en) * | 1999-12-27 | 2006-09-06 | 株式会社日立製作所 | Video signal processing apparatus and television signal receiving apparatus |
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US20040208478A1 (en) * | 2003-04-21 | 2004-10-21 | Masayoshi Nishimura | Video recording apparatus |
US20050212972A1 (en) * | 2004-03-26 | 2005-09-29 | Kabushiki Kaisha Toshiba | Noise reduction device and television receiver |
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