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P‐4.7: 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.13622
Subject(s) - histogram equalization , adaptive histogram equalization , histogram matching , histogram , artificial intelligence , computer vision , color normalization , computer science , saturation (graph theory) , image histogram , pattern recognition (psychology) , image (mathematics) , mathematics , color image , image processing , 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.