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Method for conducting dynamic video-level treatment based on maximum-minimum value

A maximum, minimum, and minimum value technology, applied in the field of dynamic video layer processing, can solve problems such as flickering, resolution reduction, and increased background noise, and achieve the effect of eliminating bluntness

Active Publication Date: 2006-03-08
INESA ELECTRON
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AI Technical Summary

Problems solved by technology

[0003] The usual method is to apply histogram equalization technology to stretch the image to achieve the effect of enhancing the image. This method can automatically enhance the contrast of the entire image, which extends the dynamic range of the image, but it has several defects: one is The specific enhancement effect is not easy to control; the second is that some gray levels with a small gray frequency will be merged, resulting in a decrease in resolution, and there is an obvious sense of rigidity; the third is that the background noise will be increased; the fourth is in the In some cases where subtitles appear suddenly, there will be obvious flickering due to the different distribution of the histogram

Method used

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  • Method for conducting dynamic video-level treatment based on maximum-minimum value
  • Method for conducting dynamic video-level treatment based on maximum-minimum value
  • Method for conducting dynamic video-level treatment based on maximum-minimum value

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Embodiment approach

[0054] Such as figure 1 with Image 6 As shown, the present invention provides a kind of method that carries out dynamic video hierarchy processing based on maximum and minimum value, comprises the following steps:

[0055] Step 1. Input a video image. Because the contrast enhancement only processes the grayscale image, first calculate the brightness map from the video image to obtain the image brightness function f(i, j), which represents the value in the i-th row and j-th column of the image Brightness information of pixels;

[0056] Step 2, calculating the image nonlinear curve to obtain the image grayscale mapping function;

[0057] Step 2.1, calculate the maximum value Max' and the minimum value Min' of the gray level of the image after contrast enhancement:

[0058] Step 2.1.1, save the maximum value Pre_Max, the minimum value Pre_Min and the brightness mean value Pre_M of the gray level of the last image;

[0059] Step 2.1.2, according to the actual grayscale maximu...

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Abstract

The method first, calculates brightness chart for video image; next, calculates maximum and minimum of gray scale value; then, accomplishes calculation of inflection point so as to obtain mapping function; finally, carries out gray scale transformation so as to obtain image with contrast being enhanced. In darker scene, the method raises brightness of image properly to show more visible detail; in brighter scene, the method lowers brightness of image properly to moderate supersaturated scene; and in general scene, the method stretches contrast of video image to make black become blacker, and white become whiter.

Description

technical field [0001] The invention relates to a method for dynamic video layer processing based on maximum and minimum values. Background technique [0002] Because the grayscale variation range of the actually captured video image is often smaller than the maximum allowable grayscale variation range of the image display system, the image is dark or bright, the contrast is insufficient, and the visual effect is not ideal. Therefore, the main purpose of the level processing is to stretch the range of the gray scale of the image, enrich the gray level of the image, and make the visual effect better. [0003] The usual method is to apply histogram equalization technology to stretch the image to achieve the effect of enhancing the image. This method can automatically enhance the contrast of the entire image, which extends the dynamic range of the image, but it has several defects: one is The specific enhancement effect is not easy to control; the second is that some gray leve...

Claims

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Application Information

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IPC IPC(8): H04N5/57
Inventor 袁野侯钢王国中
Owner INESA ELECTRON
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