Histogram compactness transformation method

A histogram and compactness technology, applied in the field of image processing, can solve the problems of histogram linear stretch enhancement method failure, gray distribution range compression, etc., to achieve compressed image gray distribution range, ensure effectiveness, and improve enhancement effect of effect

Inactive Publication Date: 2016-02-17
XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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Problems solved by technology

[0005] The purpose of the present invention is to provide a new histogram compression transformation method, which can effectively solve the problem of compressing the gray distribution range of images with histograms of different shapes, thereby solving the problems of histogram linear stretching enhancement methods in practical applications such as remote sensing image processing. failure problem

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Embodiment Construction

[0038] The technical implementation of the present invention will be further described below in conjunction with the accompanying drawings.

[0039] Affected by various factors such as illumination and target radiation characteristics, images with low contrast and low resolution often need to be enhanced before they can be used for observation or information extraction. In these images, it is very common that the gray values ​​of a few pixels occupy a large number of gray levels. figure 1 A grayscale image of an outdoor scene is shown, the minimum grayscale value of the image is 9, and the maximum grayscale value is 255. Only 2% of the pixels are distributed on the 43 gray levels in the [0, 42] interval, and the interval length accounts for 17%; only 5% of the pixels are distributed on the 80 gray levels in the [176, 256] interval , the interval length accounts for 31%; [216, 256] only 2% of the pixels are distributed on the 40 gray levels in the interval, and the interval le...

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Abstract

The invention provides a new histogram compactness transformation method, which comprises the following steps: firstly, a low-frequency (or small-probability) grey level on an input image histogram is combined and contracted, the low-frequency (or small-probability) grey level is combined onto an adjacent grey level to cause that the combined frequency of the grey level is not smaller than a certain determined standard reference frequency, so that a zero probability grey level and a small probability grey level are not in the presence between a maximum value and a minimum value of the standard reference frequency, and the grey level is continuously distributed. An experiment indicates that the histogram compactness transformation method can effectively compress the distribution range of the grey level of the input image under a situation of small image information entropy loss, effects are controllable so as to guarantee a subsequent linear enhancement effect, and a linear enhancement method has better adaptation and practicality.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image histogram transformation method. Since the transformation process compresses the gray scale distribution range of the original image and becomes compact, the invention names it histogram compactness transformation. Background technique [0002] Histogram linear stretching is one of the important methods of image enhancement. Because it can well maintain the linearity between the gray levels, and the algorithm is simple, easy to use, and the effect is controllable, it has an important application in image enhancement, especially in remote sensing image enhancement. However, like the histogram equalization algorithm, the classic histogram linear stretching algorithm often has a phenomenon that the enhancement effect is not obvious in practical applications. The reason why the enhancement effect is not obvious is that the gray distribution range of the original imag...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/40
CPCG06T5/40
Inventor 柳稼航朱锋王一豪陈铁桥
Owner XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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