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Low-frequency wavelet coefficient interpolation image equalization enhancement method

A wavelet coefficient and image technology, applied in the field of image processing, can solve the problems of reduced gray level and easy loss of image details, and achieve the effect of increasing gray level, enriching image details, and obvious contrast effect.

Active Publication Date: 2018-07-10
JIANGSU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0003] In order to solve the defects in the existing technology that the gray level of the spatially enhanced image is lower than that of the original image, and the image details are easily lost, the present invention provides an image equalization enhancement method with low-frequency wavelet coefficient interpolation

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  • Low-frequency wavelet coefficient interpolation image equalization enhancement method
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[0062] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted here that the descriptions of these embodiments are used to help understand the present invention, but are not intended to limit the present invention.

[0063] Such as figure 1 As shown, the image equalization enhancement method of low-frequency wavelet coefficient interpolation of the present invention mainly comprises the following steps:

[0064] S1: Use the db1 second-generation wavelet algorithm to decompose the initial image into a single layer to obtain the initial low-frequency sub-band and three high-frequency sub-bands;

[0065] S2: Perform equalization calculation on the part of the initial low-frequency sub-band with a coefficient greater than zero to obtain the first low-frequency sub-band after rounding, the initial low-frequency sub-band has an initial sequence with a coefficient greater than zero, and the f...

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Abstract

The invention discloses a low-frequency wavelet coefficient interpolation image equalization enhancement method, and the method comprises the following steps: S1, carrying out the single-layer decomposition so as to obtain an initial low-frequency sub-band and three high-frequency sub-bands; S2, carrying out the equalized calculation so as to obtain a first low-frequency sub-band, wherein the initial low-frequency sub-band has an initial sequence with the coefficient being greater than zero, and the first low-frequency sub-band has a first sequence with the coefficient being greater than zero;S3, calculating the difference between an initial number of initial sequences which are not equal to zero and a first number of first sequences which are not equal to zero; S4, calculating a plurality of insertion positions for inserting the first sequences and an insertion value of each insertion position, so as to obtain second sequences; S5, sequentially replacing the values of the second sequences with the values of the initial sequences according to the coefficient sequence from the small to the big, so as to obtain a third low-frequency sub-band with a third sequence; S6, reconstructingthe third low-frequency sub-band and three high-frequency sub-bands, so as to obtain a first image. The method can increase the gray scales (gray scale levels) while improving the image contrast, andenables the details of the image to be abundant.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to an image equalization and enhancement method for low-frequency wavelet coefficient interpolation. Background technique [0002] Image enhancement is one of the basic techniques of image preprocessing, mainly to increase the contrast of the image and highlight useful information. At present, image enhancement processing methods are mainly divided into two categories: space domain and frequency domain. The spatial domain is mainly to directly process the gray value of the image pixel, and to adjust the gray distribution as the starting point, and to modify the gray value in the entire image range. Most of the correlation algorithms are classical histogram equalization method (HE) and correlation histogram improved algorithm. Although these algorithms have the advantages of fast operation speed and obvious enhancement effect, there are still gray levels merged, gray level fault phe...

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Application Information

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IPC IPC(8): G06T5/00G06T3/40G06T5/10
CPCG06T3/4007G06T5/10G06T2207/20064G06T2207/10048G06T2207/10032G06T5/92
Inventor 章怡王海峰范鑫
Owner JIANGSU UNIVERSITY OF TECHNOLOGY
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