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44.3: Advantages of Two Spatial Nonlinear Channels for Color Manipulation
Author(s) -
Pan Hao,
Daly Scott
Publication year - 2007
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1889/1.2785588
Subject(s) - gamut , computer vision , artificial intelligence , computer science , filter (signal processing) , color space , pipeline (software) , noise (video) , artifact (error) , pixel , image (mathematics) , programming language
Abstract Recent emerging wide‐color gamut displays place extra difficulties on the traditional pixel‐based color manipulation methods. The increase in color saturation stretches the signals as desired, but also the noise, generally making it objectionable for saturation gains of 2 or higher. The higher contrast and lower display noise of current displays further contribute to the source noise/artifact visibility. In this paper, we propose an image color manipulation pipeline architecture that decomposes the input into two spatial frequency bands, and the color processing is applied only to the lower frequency band. To avoid problems due to transition widths around edges that lead to ghost edges, noise variations around edges, or false colors at edges, we use a nonlinear filter, sigma filter, for the decomposition.