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》 资源 》论文》A Convex Regularizer for Reducing Color Artifact in Color Image Recovery 

A Convex Regularizer for Reducing Color Artifact in Color Image Recovery 

2019-11-28 | |  55 |   30 |   0

Abstract
We propose a new convex regularizer,named the local color nuclear norm(LCNN),for color image recovery.The LCNN is designed to promote a property inherent in natu-ral color images-in which their local color distributions often exhibit strong linearity-and is thus expected to re-duce color artifact effectiveh: In addition,the very nature of LCNN allows us to incorporate it into various types of color image recovery formulations,with the associated con-vex optimization problems solvable using proximal splitting techniques.Applications of LCNN are demonstrated with illus trative numerical examples.

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