Image Decomposition into a Bounded Variation Component and an Oscillating Component
Journal of Mathematical Imaging and Vision
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This paper proposes a new digital-camera image-processing (IP) pipeline, in which observed raw color data is firstly demosaicked, and the demosaicked color image is decomposed into its two components, namely a structure component and a texture component, with our previously proposed BV-G color-image decomposition method, and then the two components are separately processed, and finally the two processed components are combined to synthesize an output color image. The BV-G color-image decomposition method utilizes inter-channel color cross-correlations, which alleviate bad effects of observation noise on quality of an output color image. Furthermore, this paper introduces a technique into the IP-pipeline, to adjust a trade-off between noise visibility and texture sharpness to user's taste.