Paper
27 March 2024 Darkroom image enhancement algorithm based on SSR adaptive adjustment
Shangfeng Bao, Hongyi Lin, Jianping Gao, Fengcheng Zhang
Author Affiliations +
Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131050S (2024) https://doi.org/10.1117/12.3026488
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China
Abstract
Aiming at the problems of poor brightness effect and poor recognition, a darkroom image enhancement algorithm based on Retinex algorithm is proposed, which replaces Gaussian filter with bilateral filter and adaptively adjusts the saturation of the darkroom image. The algorithm firstly converts the darkroom image from the three-primary color model (RGB) to the hue saturation value model (HSV). The Retinex algorithm is used to obtain the incident component and the reflection component of the darkroom image.The reflection component is sharpened by Laplace algorithm to enhance the brightness of the image and retain the color sense of the original image, and the incident component is processed by bilateral filtering. In this way, the visual display effect of images can be improved. Finally, the adaptive adjustment strategy of correlation coefficient is adopted for the saturation component in HSV space, so that the saturation component can adjust itself and maintain the global color of the image. Compared with histogram equalization (HE) algorithm and single-scale Retinex(SSR) algorithm, this algorithm can effectively solve the problems of color loss and edge information loss in darkroom images.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Shangfeng Bao, Hongyi Lin, Jianping Gao, and Fengcheng Zhang "Darkroom image enhancement algorithm based on SSR adaptive adjustment", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131050S (27 March 2024); https://doi.org/10.1117/12.3026488
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KEYWORDS
Image enhancement

RGB color model

Image processing

Image filtering

Silver

Gaussian filters

Histograms

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