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Image quality strengthening method based on generalized equilibrium model

A balanced and model technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as lack of theoretical basis, lack of good models, etc., and achieve the effect of increasing the scope of application and flexibility, and improving the effect of image quality.

Active Publication Date: 2012-07-04
SHANGHAI JIAO TONG UNIV
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  • Abstract
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Problems solved by technology

[0004] The above two methods have the shortcomings of lack of theoretical basis and no good model as the basis

Method used

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  • Image quality strengthening method based on generalized equilibrium model
  • Image quality strengthening method based on generalized equilibrium model
  • Image quality strengthening method based on generalized equilibrium model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0032] Such as figure 1 Shown is the flowchart of this embodiment, and the specific steps are as follows:

[0033] The first step is to read a certain frame in an image or video, denoted as I. Compute the histogram H of I.

[0034] The calculation histogram refers to calculating the number of occurrences of pixels corresponding to gray levels in I to form the distribution of pixel values ​​in I within the entire dynamic range of brightness. Wherein the histogram can be recorded as a vector H=[p 1 ,p 2 ,...,p n ]. This vector satisfies

[0035] p i =#{(x,y)|I (x，y) =x i}.

[0036] where x i Represents an arbitrary grayscale. #{(x,y)|I (x，y) =x i} means that the brightness in I is equal to x i The number of elements in the set of pixels. I (x，y) Indicates the brightness value of the pixel at coordinates (x, y). Denote this collection as X i ={(x,y)|I (x，y) =x i}. The brightness dynamic range refers to the range in which all possible brightness values ​​dete...

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Abstract

The invention discloses an image quality strengthening method based on a generalized equilibrium model, which includes steps of: step 1 reading a certain frame in an image or a video, marking the frame as I, and calculating a histogram H of I; step 2 preprocessing the histogram H, and obtaining a new histogram H'; step 3 optimizing the histogram H' based on the generalized equilibrium model, and obtaining an optimized histogram; step 4 verifying nonlinearity degree of tonal distortion, returning to step three after parameter adjustment if the nonlinearity degree is too high, and performing step 5 if the nonlinearity is not too high; and step 5 finishing mapping to images, and obtaining a strengthened image. The image quality strengthening method adopts the more reasonable generalized equilibrium model and provides a more flexible and rigid target function with contrast ratio strengthened. By restraining nonlinearity degree of tonal distortion caused by the strengthened contrast ratio, the contrast ratio is strengthened, and simultaneously tone is equalized. The image quality strengthening method enlarges application range and flexibility of image quality strengthening and obtains better image quality strengthening effect.

Description

technical field [0001] The present invention relates to an image quality enhancement method in the technical field of image and video processing, in particular to an image quality enhancement method based on a generalized equalization model. Background technique [0002] Film art is an important embodiment of human culture and a precious wealth of human civilization. It is an obligation to try our best to protect and inherit excellent film works. The digitization of films is one of the most important ways of protection. Traditional movies are stored in the form of film, which has strict requirements on the storage environment. As the temperature and humidity of the environment change, the chemical coating on the film will oxidize, resulting in brightness and color distortion, and mildew spots will appear in severe cases. In addition, film films will have scratches and color degradation as the number of playbacks increases. Compared with traditional film films, digital fi...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/40
Inventor 许洪腾杨小康翟广涛
Owner SHANGHAI JIAO TONG UNIV
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