保持自然度的非均匀光照图像增强的Retinex算法

doi:10.16337/j.1004-9037.2021.01.007

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保持自然度的非均匀光照图像增强的Retinex算法
DOI:
                        10.16337/j.1004-9037.2021.01.007
                    
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作者单位:1.电子科技大学信息与通信工程学院，成都 611731;2.电子科技大学光电科学与工程学院，成都 611731;3.电子科技大学信息与通信工程学院成像探测与智能感知实验室，成都 610054;4.电子科技大学光电科学与工程学院四川省显示科学与技术重点实验室，成都 610054
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基金项目:国家自然科学基金（61775030）资助项目；四川省科技计划（2019YFG0307，2019YJ0167）资助项目。

Enhancing Uneven Lighting Images with Naturalness Preserved Retinex Algorithm

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1.School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;2.School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;3.The Laboratory of Image Detection and Intelligent Perception, School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China;4.Provincial Key Laboratory of Display Science and Technology, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China

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摘要:

常规的非均匀照明图像增强方法在增强低光照区域细节时，容易对图像过度增强而导致结果失真。本文从一种新的角度提出了Retinex模型的一种扩展形式，并用于非均匀照明图像的增强。该算法将中心环绕Retinex模型输出作为感知反射率，将图像分解为感知光照图像和感知反射率图像，通过调整感知光照图像，再重新组合感知光照和感知反射率图像，得到增强结果。与近几年来多种图像增强算法的主客观评估对比实验结果表明，该算法对非均匀光照图像具有良好的增强效果，能够有效增强图像亮度和细节，提高图像质量。

Abstract:

Some existing enhancement methods enhance uneven lighting images by bringing out the details in the dark areas， but easily result in over-enhancement. In this paper， an extended form of Retinex is proposed from a new viewpoint and applied to uneven lighting image enhancement. Taking the center-surround Retinex output as the perceived reflectance， the proposed algorithm decomposes an image into a perceived reflectance image and a perceived illumination one. Image enhancement can be achieved by adjusting the perceived illumination image and combining back both images. Experimental comparisons with some state-of the-art methods show that the proposed method has good performance on enhancing brightness and details， and improving the image quality for uneven lighting images.