CN105744118B - A kind of video enhancement method and video enhancement systems based on video frame adaptive - Google Patents
A kind of video enhancement method and video enhancement systems based on video frame adaptive Download PDFInfo
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- CN105744118B CN105744118B CN201610065923.4A CN201610065923A CN105744118B CN 105744118 B CN105744118 B CN 105744118B CN 201610065923 A CN201610065923 A CN 201610065923A CN 105744118 B CN105744118 B CN 105744118B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/44—Receiver circuitry for the reception of television signals according to analogue transmission standards
- H04N5/57—Control of contrast or brightness
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/60—Noise processing, e.g. detecting, correcting, reducing or removing noise
- H04N25/63—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to dark current
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/20—Circuitry for controlling amplitude response
- H04N5/205—Circuitry for controlling amplitude response for correcting amplitude versus frequency characteristic
- H04N5/208—Circuitry for controlling amplitude response for correcting amplitude versus frequency characteristic for compensating for attenuation of high frequency components, e.g. crispening, aperture distortion correction
Abstract
The invention discloses a kind of video enhancement methods based on video frame adaptive,It is handled including video frame adaptive adjusting parameter and video frame enhancing,The invention also discloses a kind of video enhancement systems,Including parameter adjustment module and enhancing processing module,This video frame adaptive video Enhancement Method based on airspace point algorithm and the video enhancement systems based on this method foundation,Enhance flexibility from performance and video successive frame,It not only ensure that performance,Adjusting parameter is chosen according to video content adaptive simultaneously,The bring that the methods of solves the problems, such as directly to use traditional histogram equalization saturation degree to enhance, which made dark image improve bright or excessively bright image and reduce, dark etc. leads to video frame distortion,So that treated video is under circumstances,Such as indoor and outdoor,Low illumination bloom photograph etc.,Enhance more flexible,It is apparent compared to source video details,Contrast saturation degree is richer,It watches and experiencing with better human eye.
Description
Technical field
The present invention relates to a kind of video enhancement method based on video frame adaptive and a kind of video enhancement systems.
Background technique
With the rapid development of network in recent years, video develops more swift and violent relative to picture, the daily sharing of people
Habit is shared from picture gradually to video sharing transition, and more and more people can watch video on a handheld device；On the other hand
With the universal of high definition, the development of 4K, the raising of display device resolution, people imitate the displays such as brightness, the clarity of video
The requirement of fruit is higher and higher, thus video source modeling just at video playing when essential means.
The space according to locating for signal enhancing is different, and video source modeling can be divided into two class of frequency domain algorithm and air space algorithm.Frequently
Domain algorithm such as FFT, DCT etc., think of the image 2D signal enhances in transform domain；Air space algorithm also includes area according to algorithmic characteristic
Domain algorithm and point algorithm, general regions algorithm have smothing filtering, sharpening etc., and point algorithm has gamma correction, luminance contrast saturation
Degree raising etc..But these algorithms have a feature, that is, need a fixed parameter to handle, and cause to each frame of video
Processing mode it is consistent, lack flexibility.
Summary of the invention
Based on this, it is necessary to provide a kind of can choose on the premise of ensuring performance according to video content adaptive and adjust ginseng
Several video enhancement methods and a kind of video enhancement systems based on video frame adaptive.
According to an aspect of the present invention, a kind of video enhancement method based on video frame adaptive, including video are provided
Frame adaptive adjusting parameter and video frame enhancing processing,
Video frame adaptive adjusting parameter includes the following steps：
The brightness histogram H (k) of each video frame is calculated, the distributed intelligence of image overall brightness is obtained；
Calculate brightness histogram head and the tail DYNAMIC DISTRIBUTION point k1、k2；
According to k1、k2Distribution to k1、k2It is adjusted；
Current frame parameters and front series frame parameter are subjected to parameter smoothing equilibrium treatment,
Video frame enhancing processing includes the following steps：
According to k1、k2Calculate setting contrast parameter c1、c2, according to c1、c2To r, g, b channel value of video frame pixel point into
The enhancing of row contrast；
R, g, b the triple channel maximum value for calculating each pixel of video frame, according to the channel triple channel maximum value calculation r, g, b
Saturation degree enhance coefficient p1、p2、p3, by p1、p2、p3It is multiplied to obtain color value with r, g, b channel value.
Calculate brightness histogram head and the tail DYNAMIC DISTRIBUTION point k according to the following formula in one of the embodiments,1、k2：
Wherein α is controllable parameter, and the range of α is 0.01≤α≤0.03.
Calculate setting contrast parameter c according to the following formula in one of the embodiments,1、c2：
In one of the embodiments, according to the following formula to r, g, b channel value degree of comparing of video frame pixel point
Enhancing：
R=r × c1+c2
G=g × c1+c2
B=b × c1+c2。
The saturation degree for calculating the channel r, g, b according to the following formula in one of the embodiments, enhances coefficient p1、p2、p3：
p1=1.0- β × (1.0-r × r/ (max × mx))
p2=1.0- β × (1.0-g × g/ (max × mx))
p3=1.0- β × (1.0-b × b/ (max × mx)),
Wherein β is that saturation degree enhances control parameter, and range is 0.0≤β≤0.3.
According to another aspect of the present invention, it provides at a kind of video enhancement systems, including parameter adjustment module and enhancing
Module is managed, parameter adjustment module is used to make video frame auto-adaptive parameter amendment and corrected parameter is sent to enhancing processing mould
Block, enhancing processing module according to contrast and saturation degree of the corrected parameter to video frame for being adjusted.
Parameter adjustment module includes Luminance Distribution computing unit, parameter curve map unit in one of the embodiments,
With interframe parameter smoothing unit, Luminance Distribution computing unit is used to calculate the Luminance Distribution information of video frame, parameter curve mapping
Unit is used to adjust the DYNAMIC DISTRIBUTION point k of video frame1、k2, interframe parameter smoothing unit is for carrying out parameter smoothing to interframe parameter
Equilibrium treatment.
Enhancing processing module includes setting contrast unit and saturation degree adjustment unit in one of the embodiments, right
Than the contrast that degree adjustment unit is used to adjust video frame, saturation degree adjustment unit is used to adjust the saturation degree of video frame.
This video frame adaptive video Enhancement Method based on airspace point algorithm and the video based on this method foundation
Enhancing system not only ensure that performance, while according to video from performance and the angle of video successive frame enhancing flexibility
Content-adaptive chooses adjusting parameter, and solving directly is made using the methods of traditional histogram equalization saturation degree enhancing bring
Obtaining dark image and improving bright or excessively bright image reduced the problem of of leading to video frame distortion such as dark, so that treated video
Under circumstances, such as indoor and outdoor, low illumination bloom are according to enhancing is more flexible, contrast apparent compared to source video details
Saturation degree is richer, has the viewing impression of better human eye.
Detailed description of the invention
Fig. 1 is a kind of adjustment k of video enhancement method based on video frame adaptive of an embodiment of the present invention1Curve
Mapping graph；
Fig. 2 is that a kind of adjustment curve of video enhancement method based on video frame adaptive of an embodiment of the present invention reflects
Penetrate figure；
Fig. 3 is a kind of structural schematic diagram of video enhancement systems of an embodiment of the present invention.
Specific embodiment
It to facilitate the understanding of the present invention, below will be with specific embodiment to invention is more fully described.But this
Invention can be realized in many different forms, however it is not limited to embodiment described herein.On the contrary, providing this embodiment
Purpose be to make the disclosure of the present invention more thorough and comprehensive.
The video enhancement method based on video frame adaptive of one embodiment of the invention is a kind of based on airspace point algorithm
Adaptive video Enhancement Method, not only ensure that performance, while choose adjusting parameter according to video content adaptive, no matter video
Content change is much, and no matter format, resolution ratio, the bit rate etc. of video, all have good reinforcing effect.Specifically,
All frames in video are successively obtained first, and video source modeling parameter is analyzed to each frame adaptive, then each frame is increased
Strength reason.
Specifically, this method includes video frame adaptive adjusting parameter and video frame enhancing two big steps of processing：
1, video frame adaptive adjusting parameter, specifically includes the following steps：
S1, to each video frame, calculate brightness histogram H (k), first obtain the overall brightness distributed intelligence of image,
Middle k=0,1,2 ... 255, k indicates each brightness color range, and H (k) indicates pixel number in each brightness color range；
S2, histogram head and the tail DYNAMIC DISTRIBUTION point k is calculated by following formula1And k2,
Wherein α is controllable parameter, and the range of α is 0.01≤α≤0.03, this example chooses 0.03, and value chooses bigger, image
Contrast, brightness adjustment are more obvious, and vice versa；
S3, according to k1、k2Distribution, to k1、k2It is adjusted, it is therefore intended that prevent whole partially dark or whole partially bright view
Frequency frame does excessive adjustment, keeps the good impression of human eye viewing video, is as shown in Figure 1 adjustment k1Curve mapping functional arrangement C1
(k), wherein k '1=C1(k1), it is illustrated in figure 2 adjustment k2Curve mapping functional arrangement C2(k), wherein k '2=C2(k2)；
S4, current frame parameters and front series frame parameter are subjected to parameter smoothing equilibrium treatment, it is therefore intended that guarantee video
Enhancing plays smooth flow and does not jump.Specifically, the difference for judging present frame frame parameter Yu front frame parameter, when difference is greater than threshold
When value θ, representing video lens has switching, is not processed, when difference is less than θ, at present frame and previous frame progress smothing filtering
Reason, this example θ value are 20.
2, video frame enhancing is handled, and specifically includes that contrast enhancing and saturation degree enhance two steps：
Q1, contrast enhance step, the k obtained according to aforementioned auto-adaptive parameter module1、k2, calculating pair according to the following formula
Than degree adjusting parameter c1、c2：
Then contrast enhancing is carried out to video frame pixel point according to the following formula：
R=r × c1+c2
G=g × c1+c2
B=b × c1+c2,
Wherein, above-mentioned r, g, b are respectively the three primary colors of pixel.
Q2, saturation degree enhance step, first calculate each pixel r, g, b triple channel the maximum value max of video frame, then basis
The saturation degree that following formula calculates each pixel r, g, b triple channel of video frame enhances coefficient p1、p2、p3：
p1=1.0- β × (1.0-r × r/ (max × mx))
p2=1.0- β × (1.0-g × g/ (max × mx))
p3=1.0- β × (1.0-b × b/ (max × mx)),
Wherein β is that saturation degree enhances control parameter, and range is 0.0≤β≤0.3, this example chooses 0.25, and the value is bigger,
Saturation degree enhancing is bigger, and vice versa,
Then saturation degree enhancing coefficient is directly multiplied by video frame pixel point triple channel value r, g, b respectively, can be obtained full
With the enhanced color value of degree.
A kind of video enhancement systems of one embodiment of the invention apply the aforementioned video source modeling based on video frame adaptive
Method carries out Luminance Distribution detection to each frame of video first, is then repaired again with parameter adjustment curve mapping table to parameter
Just, adaptive contrast saturation degree then is carried out to video frame again to adjust, solve and directly use traditional histogram equalization
The methods of saturation degree enhancing bring, which made dark image improve bright or excessively bright image and reduce, dark etc. leads to video frame distortion
The problem of, so that treated video is under circumstances, such as indoor and outdoor, low illumination bloom are according to enhancing more flexible, compare
Source video details is apparent, and contrast saturation degree is richer, has the viewing impression of better human eye.
Specifically, as shown in figure 3, the video enhancement systems of the present embodiment include parameter adjustment module 10 and enhancing processing mould
Block 30, parameter adjustment module 10 are used to make video frame auto-adaptive parameter to correct and corrected parameter is sent to enhancing processing module
30, enhancing processing module 30 according to contrast and saturation degree of the corrected parameter to video frame for being adjusted.
Specifically, parameter adjustment module 10 includes Luminance Distribution computing unit 110, parameter curve map unit 130 and frame
Between parameter smoothing unit 150, Luminance Distribution computing unit 110 according to abovementioned steps S1 calculate video frame Luminance Distribution information,
Parameter curve map unit 130 adjusts the DYNAMIC DISTRIBUTION point k1 and k2 of video frame according to abovementioned steps S2 and S3, and interframe parameter is flat
Sliding unit 150 carries out parameter smoothing equilibrium treatment to interframe parameter according to abovementioned steps S4.
Specifically, enhancing processing module 30 includes setting contrast unit 310 and saturation degree adjustment unit 330, contrast
Adjustment unit 310 adjusts the contrast of video frame according to abovementioned steps Q1, and saturation degree adjustment unit 330 is according to abovementioned steps Q2 tune
The saturation degree of whole video frame.
Above embodiments only express individual embodiments of the invention, and the description thereof is more specific and detailed, but can not
Therefore limitations on the scope of the patent of the present invention are interpreted as.It should be pointed out that for those of ordinary skill in the art,
Without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection model of the invention
It encloses.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (8)
1. a kind of video enhancement method based on video frame adaptive, which is characterized in that including video frame adaptive adjusting parameter
It is handled with video frame enhancing,
The video frame adaptive adjusting parameter includes the following steps：
The brightness histogram H (k) of each video frame is calculated, the distributed intelligence of image overall brightness is obtained, wherein the brightness histogram
Figure is the statistics to each video frame intensity level distribution, and the k indicates each brightness color range, and the H (k) indicates each
Pixel number in a brightness color range；
Calculate the brightness histogram head and the tail DYNAMIC DISTRIBUTION point k1、k2, the k1For the brightness color of brightness histogram starting
Rank, the k2For the brightness color range of brightness histogram ending；
According to k1、k2Curve mapping function C1(k)、C2(k) to the k1、k2It is adjusted；
By current frame parameters, i.e., the described brightness histogram head and the tail DYNAMIC DISTRIBUTION point k1、k2, carried out with the front series frame parameter
Parameter smoothing equilibrium treatment first judges the difference of current frame parameters Yu front frame parameter, when the difference is greater than threshold θ, generation
Table video lens have switching, are not processed, when the difference is less than the threshold θ, by the present frame and the previous frame
The disposal of gentle filter is carried out,
The video frame enhancing processing includes the following steps：
According to the k1、k2Calculate setting contrast parameter c1、c2, according to the c1、c2To r, g, b of the video frame pixel point
The enhancing of channel value degree of comparing；
R, g, b the triple channel maximum value for calculating each pixel of the video frame, according to the triple channel maximum value calculation
The saturation degree in the channel r, g, b enhances coefficient p1、p2、p3, by the p1、p2、p3It is multiplied to obtain face with r, g, b channel value
Color value.
2. a kind of video enhancement method based on video frame adaptive according to claim 1, which is characterized in that according to such as
Lower formula calculates the brightness histogram head and the tail DYNAMIC DISTRIBUTION point k1、k2：
Wherein α is controllable parameter, and the range of the α is 0.01≤α≤0.03.
3. a kind of video enhancement method based on video frame adaptive according to claim 1, which is characterized in that according to such as
Lower formula calculates setting contrast parameter c1, c2：
4. a kind of video enhancement method based on video frame adaptive according to claim 1, which is characterized in that according to such as
Lower formula enhances r, g, b channel value degree of comparing of the video frame pixel point：
R=r × c1+c2
G=g × c1+c2
B=b × c1+c2.
5. a kind of video enhancement method based on video frame adaptive according to claim 1, which is characterized in that according to such as
Lower formula calculates the saturation degree enhancing coefficient p in the channel r, g, b1、p2、p3：
p1=1.0- β × (1.0-r × r/ (max × max))
p2=1.0- β × (1.0-g × g/ (max × max))
p3=1.0- β × (1.0-b × b/ (max × max)),
Wherein β is that saturation degree enhances control parameter, and range is 0.0≤β≤0.3, and the max indicates each pixel r, g, b tri-
The maximum value in channel.
6. a kind of using a kind of described in any item one kind of the video enhancement method based on video frame adaptive of claim 1-5
Video enhancement systems, which is characterized in that including parameter adjustment module and enhancing processing module, the parameter adjustment module for pair
The video frame makees auto-adaptive parameter and corrects and corrected parameter is sent to enhancing processing module, and the enhancing processing module is used for
It is adjusted according to contrast and saturation degree of the corrected parameter to the video frame.
7. a kind of video enhancement systems according to claim 6, which is characterized in that the parameter adjustment module includes brightness
It is distributed computing unit, parameter curve map unit and interframe parameter smoothing unit, the Luminance Distribution computing unit is for calculating
The Luminance Distribution information of the video frame, the parameter curve map unit are used to adjust the DYNAMIC DISTRIBUTION point of the video frame
K1, k2, the interframe parameter smoothing unit are used to carry out parameter smoothing equilibrium treatment to interframe parameter.
8. a kind of video enhancement systems according to claim 6, which is characterized in that the enhancing processing module includes comparison
Adjustment unit and saturation degree adjustment unit are spent, the setting contrast unit is used to adjust the contrast of the video frame, described
Saturation degree adjustment unit is used to adjust the saturation degree of the video frame.
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