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Contrast enhancement method based on wavelet transform image decomposition

A wavelet transform, wavelet inverse transform technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as cumbersome operations, achieve the effect of removing noise, improving uniform uniformity, and enhancing strength

Active Publication Date: 2017-01-04
DALIAN UNIV OF TECH
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Problems solved by technology

This method is cumbersome to operate and is also only suitable for improving visual display effects

Method used

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  • Contrast enhancement method based on wavelet transform image decomposition
  • Contrast enhancement method based on wavelet transform image decomposition
  • Contrast enhancement method based on wavelet transform image decomposition

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Embodiment Construction

[0027] The specific embodiments of the present invention will be described in detail below with reference to the technical solutions and the accompanying drawings.

[0028] figure 1 a) is the histogram obtained by statistics in each sub-block of the original image, figure 1 b) is the histogram obtained by clipping and redistributing the histogram according to a certain threshold. The part of the original image whose amplitude is higher than the set threshold is cropped, and evenly distributed to the entire grayscale range of the image to ensure that the total area remains unchanged. Here, due to the addition of the cropped part, the overall image distribution will move up by a small part, causing the upper part to exceed the original cropping threshold, as shown at the top of Figure (b). But since the effect is small, it can be ignored.

[0029] In the forging measurement, due to the distance between the surface of the object to be measured and the camera, the surface rough...

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Abstract

The invention relates to a contrast enhancement method based on wavelet transform image decomposition and belongs to the field of image processing and computer vision detection. The method firstly separates high and low frequency information of an image with nonuniform light bar brightness by wavelet transform, and then removes the noise of high-frequency information by a wavelet transform multi-scale threshold denoising method, enhances the contrast of low-frequency information by a contrast restriction adaptive histogram equalization method, and finally, obtains an enhanced image by inverse wavelet transform. The method processes high and low frequency information respectively by using wavelet transform and the contrast restriction adaptive histogram equalization method, removes the noise to a great extent, enhances signal intensity and effectively improves the uniform uniformity of the light bars.

Description

technical field [0001] The invention belongs to the field of image processing and computer vision detection, and relates to a contrast enhancement method based on wavelet transform image decomposition. Background technique [0002] At present, machine vision technology is an important method for dimension measurement of forgings, and the method of accurately measuring dimensions by projecting auxiliary laser light bars on the surface of forgings and accurately extracting them is widely used. However, due to factors such as different shapes of forgings and on-site environment interference, the directly collected light strip images are prone to local uneven brightness, resulting in increased light strip extraction errors, or even incomplete extraction, which seriously affects the accuracy of the final forging size measurement. . Therefore, it is of great significance to process the image to enhance the contrast of the laser light bar image and improve the light bar characteri...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/40
CPCG06T5/40G06T2207/20064G06T5/70
Inventor 贾振元徐鹏涛刘巍刘阳樊超楠王灵丽杨景豪李士杰
Owner DALIAN UNIV OF TECH
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