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Digital picture obscurity enhancement method for anastomosing a plurality of blurring operators

A fuzzy enhancement and digital image technology, applied in the field of image processing, can solve the problems of image loss, low grayscale information, and inability to process

Inactive Publication Date: 2008-06-25
昆山杰得微电子有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The traditional fuzzy enhancement method has the following defects: (1) Due to the limitation of the selected fuzzy membership function, the image after fuzzy enhancement loses part of the low gray level information
(2) Enhance the entire grayscale area of ​​the image, and cannot process several grayscale levels of interest
(3) For different images, the traditional fuzzy enhancement only uses the same fuzzy enhancement operator to enhance the digital image, and it cannot achieve better visual effects for images of various bright and dark levels.

Method used

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  • Digital picture obscurity enhancement method for anastomosing a plurality of blurring operators
  • Digital picture obscurity enhancement method for anastomosing a plurality of blurring operators
  • Digital picture obscurity enhancement method for anastomosing a plurality of blurring operators

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Embodiment

[0036] Taking the input of a color image (in three channels of R, G, and B) as an example, the specific implementation of the present invention will be described below.

[0037] Carry out the fuzzy enhancement of image in the following steps in this embodiment:

[0038] Step 1: Determine the overall brightness level of the image. This step can be provided after the image to be enhanced is observed by human eyes, or can be given by a statistical analysis method (such as by calculating the size of the average brightness of the image, if the average brightness is small, it is considered dark, and if the average brightness is large, it is considered brighter) is given. Divide the brightness and darkness of the image into four levels (levels 1 to 4 represent the levels from dark to bright, level 1 is very dark, level 2 is generally dark, level 3 is generally bright, level 4 is very bright ), where grades 1 to 2 are for darker images, and grades 3 to 4 are for brighter images. As...

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Abstract

The invention discloses a digital image fuzzy intensification method for inosculating a plurality of fuzzy operators. The method is divided into four steps: step one, brightness-darkness grades are defined as four grades; step two, for a first grade image and a second grade image , a linear transit function is adopted to make conversion, for a third grade image and a fourth grade image, a nonlinear transit function is adopted to make conversion; step 3, on a fuzzy field, different brightness-darkness grades choose different fuzzy operators to make fuzzy image intensification: for the first grade image, a multinomial intensification operator is adopted to make fuzzy field intensification; for the second grade image, a logarithm type intensification operator is adopted to make fuzzy field intensification; for the third grade image and the fourth grade image, a sectional transit type intensification operator is adopted to make fuzzy field intensification; step 4, inverting back to null-field, fuzzy intensified null-field images are obtained and sent out. The invention can get a better visual efficiency whether the image is of insufficient exposure or over exposure.

Description

technical field [0001] The present invention relates to an image processing technology in the field of chip design, in particular to a digital image fuzzy enhancement method fused with multi-fuzzy operators, that is, an image enhancement method realized by fuzzy set theory, which can be used to process black-and-white and color images . Background technique [0002] At present, the application of image processing in chip design is more and more extensive, such as: digital camera, digital video camera, mobile phone, video conferencing system and so on. Image processing generally includes preprocessing, compression, and postprocessing. Image enhancement technology is a commonly used method in image preprocessing. Its purpose is to selectively highlight or weaken certain information in the image for a given image according to specific needs, so as to improve the visual effect of the human eye, or Convert images to human-eye observation or machine analysis and processing. [...

Claims

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Application Information

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IPC IPC(8): H04N1/409H04N1/58
Inventor 欧阳合林晓芸
Owner 昆山杰得微电子有限公司
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