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Nonlinear compensation process for human visual contrast

A nonlinear compensation and human vision technology, applied in the field of nonlinear compensation, can solve the problems of not reaching the threshold of human visual contrast resolution, unable to distinguish useful image information, unable to recognize image information, etc., and achieve the compensation of human visual contrast resolution. Effect

Inactive Publication Date: 2010-01-13
CHONGQING MEDICAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although many images obtained under low illumination contain image information, because they do not reach the threshold of human visual contrast resolution, human vision cannot recognize the image information and cannot distinguish useful information in the image.

Method used

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  • Nonlinear compensation process for human visual contrast
  • Nonlinear compensation process for human visual contrast
  • Nonlinear compensation process for human visual contrast

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] Such as figure 1 Shown: A non-linear compensation method for human visual contrast resolution, proceed as follows:

[0032] (1) Select the image obtained under low illumination as the source image: detect the gray spectrum of the gray image, and select the gray image whose main gray information is below gray level 47 as the source image.

[0033] image 3 It is the source image, and human vision can only see a black one, and cannot distinguish useful information. Figure 4 is the grayscale spectrum corresponding to the source image. From Figure 4 It can be seen that the source image contains grayscale information, and its main grayscale information is below grayscale level 5.

[0034] (2) Obtain the original gray value og(x, y) of each pixel in the source image.

[0035] (3) Calculate the target gray value after the original gray value of each pixel is compensated, and the target gray value is obtained by the following formula:

[0036] TG ...

Embodiment 2

[0045] This embodiment is roughly the same as Embodiment 1, and its difference is: as Figure 8 , 9 As shown in , 10, and 11, the source images are different, and the target images obtained are also different.

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Abstract

The invention discloses a nonlinear compensation process for human visual contrast , which is characterized by comprising the following steps: (1) selecting an image obtained in low light intensity as a source image; (2) acquiring the original gray value of each pixel of the source image; (3) calculating a target gray value of the compensated original gray value of each pixel; and (4) replacing the gray value of each pixel of the source image by the target gray value TG (x,y) to generate a target image. The invention changes images which are obtained in low light intensity and cannot be resolved by human vision into clear and resolved images by compensating the human visual contrast in low light intensity.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a nonlinear compensation method for compensating the contrast resolution of human vision. Background technique [0002] Image is the basis of human visual perception of objective things. The minimum grayscale difference between two pixels in an image that human vision can perceive is called JND (Just Distinguishable Grayscale Distance), which is the contrast resolution threshold. The Chinese patent "A Test Method for Visual Contrast Resolution" (Patent No.: 200710078497.9) proposes a method for measuring the human contrast resolution threshold. According to this method, the variation of the human visual contrast resolution threshold with the background gray level can be obtained. Such as figure 2 As shown, the fitting curve 1 is a descending concave curve, which is the variation trend of the contrast threshold of human vision with the background gray level under low ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 谢丹玫王志芳
Owner CHONGQING MEDICAL UNIVERSITY
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