Affiliations: [a] State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China | [b] Henan Institute of Engineering, Zhengzhou 450007, Henan, China
Correspondence:
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Corresponding author: Guangxue Chen, State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China. E-mail: [email protected].
Abstract: Spatial color gamut mapping algorithm is researched to improve the mapping quality by solving halo artifacts and to improve its efficiency. This paper firstly uses guide filtering to filter L channel and get base layer of L channel, and then use the difference between original L channel value with base layer, to get detail layer of L channel. At the same time, makes statistics on distance relationship between each pixel point with target and source color gamut boundary, according to the statistical data to find out the best threshold value. Make the part of detail layer larger than the threshold value compensates to original image. The experiment proved that efficiency of single mapping operation is higher than conventional two-level mapping algorithm and for most of the images, processing effect is better. What’s more, halo artifact is also solved.
