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A Histogram Compact Transformation Method

A histogram and compactness technology, applied in the field of image processing, can solve problems such as the compression of the gray distribution range and the failure of the linear stretching enhancement method of the histogram, so as to ensure the validity, compress the gray distribution range of the image, and realize automation The effect of treatment

Inactive Publication Date: 2018-01-19
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 many factors such as illumination and target radiation characteristics, low-contrast, low-resolution images often need to be enhanced before they can be used for observation or information extraction. In these images, it is common for a few pixels to occupy a large number of gray levels. figure 1 Shown is a grayscale image of an outdoor scene, the minimum image grayscale is 9 and the maximum is 255. There is only 2% pixel distribution in the 43 gray levels in the [0, 42] interval, and the length of the interval is 17%; the 80 gray levels in the [176, 256] interval have only 5% of the pixel distribution , The interval length accounts for 31%; the 40 gray levels of the [216,256] interval only have 2% pixel distribution, and the interval length accounts for 16%. figure 2 For another grayscale remote sensing image, the mini...

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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 present invention belongs to the field of image processing technology, and relates to an image histogram transformation method. Because the transformation process makes the gray distribution range of the original image compressed and becomes compact, the present invention names it histogram compactness transformation. Background technique [0002] Linear stretching of histogram is one of the important methods of image enhancement. Because it can keep the linearity between gray levels well, and the algorithm is simple, the use aspect, the effect is controllable, etc., it has important applications in image enhancement, especially remote sensing image enhancement. But like the histogram equalization algorithm, the classical histogram linear stretching algorithm often has the phenomenon that the enhancement effect is not obvious in practical applications. The reason for the insignificant enhancement effect is that the gray distribution range of the origin...

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Application Information

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Patent Type & Authority Patents(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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