23 December 2022 Survey of methods and evaluation of Retinex-inspired image enhancers
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Abstract

Spatial color algorithms (SCAs) are computer vision procedures widely used for image enhancement and human vision modeling. The main characteristic of SCA family is that they mimic the behavior of the human vision system (HVS), achieving in this way robustness and the capability to adjust their effect according to the image content. Here, we review 35 different, popular Retinex-inspired SCAs discussing and providing a set of measures for their evaluation in terms of image quality. To this purpose, we also introduce SCA-30, a real-world color image dataset made publicly available. The algorithms considered here include and spread from well-known Retinex implementations, Retinex variants, Milano–Retinex and related inspired enhancers, illumination/decomposition approaches, and deep learning-based techniques. Data and code used for the evaluation are made freely available to the community, to pursue further analysis and comparisons.

© 2022 SPIE and IS&T
Gabriele Simone, Michela Lecca, Gabriele Gianini, and Alessandro Rizzi "Survey of methods and evaluation of Retinex-inspired image enhancers," Journal of Electronic Imaging 31(6), 063055 (23 December 2022). https://doi.org/10.1117/1.JEI.31.6.063055
Received: 9 May 2022; Accepted: 30 November 2022; Published: 23 December 2022
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image enhancement

Image processing

Light sources and illumination

Color

Image analysis

Image quality

Reflectivity

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