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Ways to Get the Best Quality Grayscale Images

A grayscale image and image technology, applied in the field of image processing, can solve the problems of not seeing the improvement of image quality, not seeing the best quality image, etc., and achieve an effect that is conducive to quality evaluation

Inactive Publication Date: 2011-11-30
CHONGQING MEDICAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Many methods have been proposed, such as histogram equalization, contrast stretching, etc., but there is no report on the evaluation of the improvement of image quality, and there is no literature report on the conditions under which the best quality image can be obtained

Method used

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  • Ways to Get the Best Quality Grayscale Images
  • Ways to Get the Best Quality Grayscale Images
  • Ways to Get the Best Quality Grayscale Images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] like figure 1 Shown: A method to obtain the best quality grayscale image, follow the steps below:

[0066] (1) Select the grayscale image as the source image, obtain the grayscale value of each pixel of the source image, and search for the maximum grayscale value and the minimum grayscale value of the source image; the maximum grayscale value of the source image is the grayscale spectrum of the source image The right boundary value of the source image, the minimum gray value of the source image is the left boundary value of the source image gray spectrum.

[0067] For the gray spectrum detection method adopted in the present invention, please refer to the Chinese invention patent "High-resolution detection method for image grayscale or chromaticity information for underlying image transformation" (patent number: ZL200610054324.9). The high-resolution detection method of image grayscale information proposed in this patent can obtain a high-precision grayscale spectrum w...

Embodiment 2

[0108] The method of this embodiment and embodiment 1 is roughly the same, and its difference is: this embodiment is to Figure 4 The source image shown is subjected to Zadeh-X transformation to obtain the best quality image. When determining the starting point value of the gray level Delta and the starting value Theta of the gray level, use:

[0109] The average gray value AG of the source image 0 When ≤127.5, the starting value of the grayscale Theta is the left boundary value of the grayscale spectrum of the source image, and the starting value of the grayscale level Delta is 1;

[0110] The average gray value AG of the source image 0 When >127.5, the starting value of the gray level Theta is the right boundary value of the gray spectrum of the source image, and the starting value of the gray level Delta is 1.

[0111] According to the calculation, Figure 4 The average gray value AG of the source image shown 0 =191.0737>127.5, so the converted gray-scale starting value T...

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Abstract

The invention discloses a method for generating a grayscale image with the best quality, which is carried out according to the following steps: select the grayscale image as a source image, obtain the grayscale value of each pixel of the source image, and detect the grayscale spectrum of the source image; establish Grayscale image quality evaluation function NCAF; use Zadeh-X transformation method to perform Zadeh-X transformation on the source image, calculate the information entropy, average contrast, and normalized grayscale difference of the transformed image, and obtain the grayscale image corresponding to the transformed image The value of the quality assessment function NCAF; determine the Delta value corresponding to the maximum value of the grayscale image quality assessment function NCAF, according to this value and the grayscale initial value Theta, utilize the Zadeh-X transformation method to carry out Zadeh-X transformation to the source image, transform The image is the best quality image. The present invention can obtain the gray scale image with the best quality, and the result conforms to the subjective cognition of human vision.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to a method for obtaining grayscale images with the best quality. Background technique [0002] The imaging effect of an imaging device is affected by many factors, such as the performance of the imaging device itself, lighting conditions, and operator skills. In many cases, the image quality obtained by the imaging device is not very good, and the image quality needs to be improved. Therefore, how to improve the image quality has become an important issue in the field of image processing. [0003] Image (quality) enhancement is an important issue in the field of image processing. Many methods have been proposed, such as histogram equalization, contrast stretching, etc., but there is no report on the evaluation of the improvement of image quality, and there is no literature report on the conditions under which the best quality image can be obtained. Contents of the inventi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 谢丹玫王志芳熊兴良谢正祥
Owner CHONGQING MEDICAL UNIVERSITY
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