Paper Info
Title
On edge-aware path-based color spatial sampling for Retinex: from Termite Retinex to Light Energy-driven Termite Retinex.
Abstract
Retinex theory estimates the human color sensation at any observed point by correcting its color based on the spatial arrangement of the colors in proximate regions. We revise two recent path-based, edge-aware Retinex implementations: Termite Retinex (TR) and Energy-driven Termite Retinex (ETR). As the original Retinex implementation, TR and ETR scan the neighborhood of any image pixel by paths and rescale their chromatic intensities by intensity levels computed by reworking the colors of the pixels on the paths. Our interest in TR and ETR is due to their unique, content-based scanning scheme, which uses the image edges to define the paths and exploits a swarm intelligence model for guiding the spatial exploration of the image. The exploration scheme of ETR has been showed to be particularly effective: its paths are local minima of an energy functional, designed to favor the sampling of image pixels highly relevant to color sensation. Nevertheless, since its computational complexity makes ETR poorly practicable, here we present a light version of it, named Light Energy-driven TR, and obtained from ETR by implementing a modified, optimized minimization procedure and by exploiting parallel computing. (C) 2017 SPIE and IS&T
Year
DOI
Venue
2017
10.1117/1.JEI.26.3.031203
JOURNAL OF ELECTRONIC IMAGING
Keywords
Field
DocType
Retinex,color spatial sampling,image edges,image enhancement,swarm intelligence
Computer vision,Color constancy,Computer graphics (images),Computer science,Sampling (statistics),Artificial intelligence
Journal
Volume
Issue
ISSN
26
3
1017-9909
Citations 
PageRank 
References 
5
0.48
20
Authors
4
Name
Order
Citations
PageRank
Gabriele Simone1778.42
Roberto Cordone231028.87
Raul Paolo Serapioni3111.27
Michela Lecca4259.03