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Low-illumination image enhancement method based on Retinex model adaptive structure

A model adaptive and image enhancement technology, applied in the field of image processing, can solve problems such as low brightness and low overall image brightness

Pending Publication Date: 2021-07-09
BEIJING UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are two types of typical low-light images, one is that the overall brightness of the image is relatively low; the other type of image contains brighter areas, but the overall brightness of the target area of ​​​​interest is very low

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  • Low-illumination image enhancement method based on Retinex model adaptive structure
  • Low-illumination image enhancement method based on Retinex model adaptive structure
  • Low-illumination image enhancement method based on Retinex model adaptive structure

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Embodiment Construction

[0032] This method first proposes a Retinex enhancement algorithm for adaptive weighting matrices for low-light images, which introduces new exponential local derivatives to better exploit the global nature of the derivatives and generalizes the related derivatives to structure and texture maps Middle; the algorithm extracts illumination and reflection information from the input image, and at the same time performs L0 sparse representation on the reflection image; the algorithm uses alternating direction least squares method to solve ill-posed problems in a better way. The improvement plan is as follows:

[0033] First of all, the new objective function will be applied to the smooth solution of L0, so the method of solving L0 will be described in detail here.

[0034] On the input image, R is used as the input image, and W is used as the output result. gradient Computes the color difference between each pixel p's neighbors along the x and y directions. The gradient measure...

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Abstract

The invention discloses a low-illumination image enhancement method based on a Retinex model adaptive structure, which is improved according to a low-illumination condition and comprises the following steps: proposing a TSRI algorithm for extracting an illumination structure and reflection texture of an input image. According to the characteristics of a low-illumination image, reflection image L0 sparseness is introduced, and the problem that a reflection image in a Retinex algorithm is not smooth enough is solved; and the invention relates to a low-illumination image enhancement algorithm for Retinex. And the TSRI algorithm is used to process the brightness component in the HSV space.

Description

technical field [0001] The invention relates to a low-light image enhancement method based on an adaptive structure of a Retinex model, and belongs to the technical field of image processing. Background technique [0002] With the flourishing of social media such as Facebook and Youtube, it has almost become routine for some people to take pictures or record their daily life and share it with others via the internet. However, many photos are taken in low-light environments due to backlighting, exposure, or dark environments. Despite improvements in technology and equipment, the poor quality of photographs taken is unavoidable, not to mention the large number of photographs that still carry many of the problems of the past. [0003] in low light environments. First, these photos, i.e. low-light images, suffer from low sharpness, low contrast and a lot of noise. Post-processing techniques are required to improve the visual quality of these images. Second, the quality of im...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/49G06F17/16
CPCG06T7/49G06F17/16G06T2207/20012G06T5/94G06T5/70Y02T10/40
Inventor 王润雨齐娜齐景仲朱青
Owner BEIJING UNIV OF TECH