Open AccessHierarchical tone mapping based on image colour appearance model
Author(s) -
Xiao Jinsheng,
Li Wenhao,
Liu Guoxiong,
Shaw ShihLung,
Zhang Yongqin
Publication year - 2014
Publication title -
iet computer vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.38
H-Index - 37
eISSN - 1751-9640
pISSN - 1751-9632
DOI - 10.1049/iet-cvi.2013.0230
Subject(s) - tone mapping , artificial intelligence , rgb color model , computer science , computer vision , pixel , tone (literature) , kernel (algebra) , image (mathematics) , pattern recognition (psychology) , filter (signal processing) , gamma correction , high dynamic range , mathematics , dynamic range , art , literature , combinatorics
To solve the problem of low efficiency and poor effect of the current tone mapping methods for the high dynamic range images, the authors propose a hierarchical tone mapping algorithm based on colour appearance model. The discrete Gaussian kernel is used to speed up the bilateral filter. The operation of tone compression in RGB colour space is adopted to correct the colour casts. The extreme values of the pixels are also adjusted in the detail layer. Moreover, after the tone mapping, the colour saturation is enhanced in the image regions of rich details and sharp edges. Experimental results show that the proposed algorithm with less computational cost reduces the halo effect significantly, and achieves the natural colour and the rich details. It outperforms the state‐of‐the‐art methods in terms of visual quality and objective indicators.