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QBRIX: a quantile-based approach to retinex
- Source :
- Journal of the Optical Society of America. A, Optics, image science, and vision. 31(12)
- Publication Year :
- 2015
-
Abstract
- In this paper, we introduce a novel probabilistic version of retinex. It is based on a probabilistic formalization of the random spray retinex sampling and contributes to the investigation of the spatial properties of the model. Various versions available of the retinex algorithm are characterized by different procedures for exploring the image content (so as to obtain, for each pixel, a reference white value), then used to rescale the pixel lightness. Here we propose an alternative procedure, which computes the reference white value from the percentile values of the pixel population. We formalize two versions of the algorithm: one with global and one with local behavior, characterized by different computational costs.
- Subjects :
- education.field_of_study
Pixel
Color constancy
business.industry
Computer science
Population
Probabilistic logic
Sampling (statistics)
Image processing
Atomic and Molecular Physics, and Optics
Electronic, Optical and Magnetic Materials
Optics
Probability theory
Computer Vision and Pattern Recognition
business
education
Algorithm
Quantile
Subjects
Details
- ISSN :
- 15208532
- Volume :
- 31
- Issue :
- 12
- Database :
- OpenAIRE
- Journal :
- Journal of the Optical Society of America. A, Optics, image science, and vision
- Accession number :
- edsair.doi.dedup.....44a2f61f5dc937dcba90a7dc0b677506