Unifying Path and Center-surround Retinex Algorithms

Karami, Afsaneh and Finlayson, Graham D. (2024) Unifying Path and Center-surround Retinex Algorithms. In: London Imaging Meeting. Society for Imaging Science and Technology, pp. 17-21.

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Abstract

Retinex is a theory of colour vision, and it is also a well known image enhancement algorithm. The Retinex algorithms reported in the literature are often called path-based or centre surround. In the path-based approach, an image is processed by calculating (reintegrating along) paths in proximate image regions and averaging amongst the paths. Centre-surround algorithms convolve an image (in log units) with a large-scale centre surround-type operator. Both types of Retinex algorithms map a high dynamic range image to a lower-range counterpart suitable for display, and both are proposed as a method to simultaneously enhance an image for preference. In this paper, we reformulate one of the most common variants of the path-based approach and show that it can be recast as a centre-surround algorithm at multiple scales. Significantly, our new method processes images more quickly and is potentially biologically plausible. To the extent that Retinex produces pleasing images, it produces equivalent outputs. Experiments validate our method.

Item Type:	Book Section
Faculty \ School:	Faculty of Science Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Colour and Imaging Lab
Related URLs:	https://library.imaging.org/lim/articles...
Depositing User:	LivePure Connector
Date Deposited:	30 Jun 2025 14:30
Last Modified:	06 Jul 2025 06:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/99789
DOI:	10.2352/lim.2024.5.1.4

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