Retinex image enhancement method based on Laplacian pyramid

An image enhancement, Gaussian pyramid technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as overexposure, difference, etc., to enhance the visual effect, improve the overall contrast, and solve the problem of detail enhancement.

Active Publication Date: 2019-08-27
DALIAN MARITIME UNIVERSITY
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AI Technical Summary

Problems solved by technology

Due to the color distortion problem of the SSR algorithm and the MSR algorithm, the MSRCR algorithm is proposed. This algorithm introduces a nonlinear function of the original image chromaticity in the restoration process to compe

Method used

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  • Retinex image enhancement method based on Laplacian pyramid
  • Retinex image enhancement method based on Laplacian pyramid
  • Retinex image enhancement method based on Laplacian pyramid

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[0129] Such as figure 2 As shown, the present invention provides experimental renderings and 3D color models of various algorithms enhanced with other algorithms for low-altitude scenes. The enhanced effect diagram from the experiment shows that the displayed method has a certain enhancement effect, which improves the global contrast of the image and enhances the local detail information. From the analysis of the 3D color model diagram, the low-altitude image enhanced by the SSR algorithm, the MSR algorithm, and the He algorithm has a color cast phenomenon. The cai algorithm and the method of the invention enhance the contrast of the image, and the color is richer than the primary color of the original image. In terms of local details of the low-altitude scene, the touchdown area of ​​the runway processed by the method of the present invention is clear, the ground texture of the surrounding protection area is clear and rich in color, and the contrast between light and dark a...

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Abstract

The invention provides a Retinex image enhancement method based on a Laplacian pyramid. The method comprises the following three processes: firstly, carrying out multi-scale convolution on an originalimage, carrying out convolution by adopting three 3 * 3 Gaussian convolution kernels, and obtaining R, G and B channel feature maps with different scales; secondly, estimating an incident component by adopting a Retinex algorithm and enhancing colors; enhancing details of reflective components; and finally, carrying out linear weighted fusion on the color enhanced image and the detail enhanced image to obtain an enhanced image. According to the method, more details of the image are acquired by adopting multi-scale convolution, image enhancement is carried out by utilizing an MSRCR algorithm,and Gamma correction is carried out on an incident component to realize color enhancement. Bilateral filtering denoising is carried out on the reflection component to reduce noise interference, and image detail information is extracted through a Laplacian pyramid; and linear weighted fusion is carried out on the color enhanced image and the detail enhanced image to realize image enhancement.

Description

technical field [0001] The invention relates to a Retinex image enhancement method based on Laplacian pyramid. Background technique [0002] The rapid development of computer technology has promoted the wider application of computer vision, and the improvement of image quality has become a common concern in the field of digital image processing. Images captured in low light, foggy and hazy weather have low resolution. There are two commonly used processing methods for low-quality images, which are based on image enhancement methods and image restoration methods based on physical models. Through the above operations, you can Improve image quality. [0003] Foggy image enhancement method is to enhance the region of interest in the image without considering the cause of image quality degradation. The method is to enhance the high-frequency components in the image and enhance the edge contour information to make the details more obvious. The image restoration method considers ...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/008G06T5/003
Inventor 张维石周景春张得欢邹沛煜张卫东
Owner DALIAN MARITIME UNIVERSITY
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