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22‐1: Image Enhancement with Visual Saturation Preserving on Adaptive Histogram Model
Author(s) -
Shi Chaochao,
Jin Yufeng,
Chen Yinhung,
Zhao Bin
Publication year - 2019
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 - 10.1002/sdtp.12915
Subject(s) - histogram equalization , histogram matching , adaptive histogram equalization , histogram , computer vision , artificial intelligence , color normalization , saturation (graph theory) , computer science , image histogram , pattern recognition (psychology) , mathematics , image (mathematics) , image processing , color image , combinatorics
A novel algorithm based on histogram equalization (HE) is proposed, which has saturation preservation and obtain more suitable visual perception. This method can solve the problem of visual perception saturation decrease and color distortion caused by conventional histogram methods. The results show excellent performance in LDR image enhancement.