CVDec 16, 2015

Effects of GIMP Retinex Filtering Evaluated by the Image Entropy

arXiv:1512.05653v114 citations
Originality Synthesis-oriented
AI Analysis

This work addresses image quality improvement for applications like photography or vision systems, but it is incremental as it builds on existing filtering techniques.

The paper tackled the problem of optimizing GIMP Retinex filter parameters for image enhancement, particularly in foggy conditions, by proposing to maximize image entropy as a criterion, using both Shannon and generalized entropy measures.

A GIMP Retinex filtering can be used for enhancing images, with good results on foggy images, as recently discussed. Since this filter has some parameters that can be adjusted to optimize the output image, several approaches can be decided according to desired results. Here, as a criterion for optimizing the filtering parameters, we consider the maximization of the image entropy. We use, besides the Shannon entropy, also a generalized entropy.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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