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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TP391

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    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.

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PU Tian, ZHANG Ziye, PENG Zhenming. Enhancing Uneven Lighting Images with Naturalness Preserved Retinex Algorithm[J].,2021,36(1):76-84.

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History
  • Received:September 14,2020
  • Revised:November 03,2020
  • Adopted:
  • Online: January 25,2021
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