Image reinforcement method for self-adaptive regulation according to edge and brightness

A technology of adaptive adjustment and image enhancement, applied in image enhancement, image communication, image data processing and other directions, can solve the problems of too mechanized operation process, unable to improve image quality in essence, no smoothing filter and sharpening filter, etc. Achieve the effect of preventing excessive smoothness or sharpness, improving image quality, and broadening the scope and field of application

Inactive Publication Date: 2008-01-09
TIANJIN UNIV
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However, this patent is too simple. It only uses the histogram equalization operation in image enhancement, and there is no smoothing filter and sharpening filter, so the quality of the image cannot be es

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  • Image reinforcement method for self-adaptive regulation according to edge and brightness
  • Image reinforcement method for self-adaptive regulation according to edge and brightness
  • Image reinforcement method for self-adaptive regulation according to edge and brightness

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Embodiment Construction

[0059] The image enhancement method for adaptive adjustment according to the edge and brightness features of the present invention will be described in detail below in conjunction with the embodiments.

[0060] As shown in Figure 1, the image enhancement method for adaptive adjustment according to edge and brightness features of the present invention includes the following steps:

[0061] a) Discrete Laplace transform is performed on the input digital image to obtain a Laplace operator mask image;

[0062] b) Perform brightness histogram analysis on the converted mask image, and classify the image for the first time according to the characteristics of this histogram;

[0063] c) performing different spatial filtering processes on the different images obtained after the first classification according to the respective image characteristics;

[0064] d) Obtaining and analyzing the histogram of the spatially processed image, and classifying the image for the second time accordin...

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Abstract

This method (1) makes scattered Laplacian conversion against the input digit images to obtain the Laplacian operator mask images (MI); (2) analyzes the converted MI on the brightness rectangle graph (RG) and classifies images according to RG character; (3) makes different space filtering against the classified different images depending on images' characters; (4) analyzes the filtered images on the obtained RG and re-classifies images according to RG character; (5) makes different brightness regulation against the re-classified different images depending on images' characters; (6) makes RG equalizing against the finally obtained images and sends to the output device. This invention (1) can filter and improve brightness via different means against the input images with different margin characters and brightness characters; (2) can effectively filter-boost and regulate brightness against more images in a larger range.

Description

technical field [0001] The invention relates to an image enhancement method. In particular, it involves a method that can filter and improve brightness in different ways for input images with different edge features and brightness features, so that the output image has characteristics that are more suitable for human eyes, and at the same time can suppress the loss of image details. Homogenization realizes an image enhancement method for digital image enhancement that is adaptively adjusted according to edge and brightness features. Background technique [0002] Among all steps of digital image processing, image enhancement is the simplest and most attractive field of digital image processing. The basic guiding idea of ​​image enhancement is to make blurred details in the image more obvious, or to make some parts of the image that want to be highlighted more obvious. [0003] Today's digital image enhancement methods are mainly divided into two categories: spatial domain p...

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Application Information

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IPC IPC(8): G06T5/40H04N1/409H04N1/58
Inventor 史再峰姚素英徐江涛金亮高静解晓东
Owner TIANJIN UNIV
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