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A method of image equalization and enhancement based on low-frequency wavelet coefficient interpolation

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

Active Publication Date: 2022-02-11
JIANGSU UNIV OF TECH
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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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  • A method of image equalization and enhancement based on low-frequency wavelet coefficient interpolation
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  • A method of image equalization and enhancement based on low-frequency wavelet coefficient interpolation

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Embodiment Construction

[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 an image equalization and enhancement method for low-frequency wavelet coefficient interpolation, comprising the following steps: S1 single-layer decomposition to obtain an initial low-frequency sub-band and three high-frequency sub-bands; S2 equalization calculation to obtain a first low-frequency sub-band, The initial low-frequency sub-band has an initial sequence with a coefficient greater than zero, and the first low-frequency sub-band has a first sequence with a coefficient greater than zero; S3 calculates the initial number of the initial sequence that is not equal to zero and the first number of the first sequence that is not equal to zero. difference; S4 calculates a plurality of insertion positions for inserting the first sequence and the insertion value of each insertion position to obtain the second sequence; S5 replaces the values ​​of the second sequence with the values ​​of the initial sequence in order of coefficients from small to large value to obtain a third low-frequency sub-band with a third sequence; S6 reconstructing the third low-frequency sub-band and three high-frequency sub-bands to obtain the first image. The invention can increase the number of gray levels (or gray levels) of the image and enrich the details of the image while enhancing the contrast of the image.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T3/40G06T5/10
CPCG06T3/4007G06T5/009G06T5/10G06T2207/20064G06T2207/10048G06T2207/10032
Inventor 章怡王海峰范鑫
Owner JIANGSU UNIV OF TECH
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