2D histogram equalisation based on the human visual system
- Authors
- Kim, S. -W.; Choi, B. -D.; Park, W. -J.; Ko, S. -J.
- Issue Date
- 17-Mar-2016
- Publisher
- INST ENGINEERING TECHNOLOGY-IET
- Keywords
- image enhancement; 2D histogram equalisation method; human visual system; local pixel pair; LPP; 2DH-based method; HVS; brightness discrimination; spike-free 2DH; image contrast enhancement; Weber law
- Citation
- ELECTRONICS LETTERS, v.52, no.6, pp.443 - 444
- Indexed
- SCIE
SCOPUS
- Journal Title
- ELECTRONICS LETTERS
- Volume
- 52
- Number
- 6
- Start Page
- 443
- End Page
- 444
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/89198
- DOI
- 10.1049/el.2015.3956
- ISSN
- 0013-5194
- Abstract
- Histogram equalisation (HE) methods using the 2D histogram (2DH) have achieved a great success in contrast enhancement. The 2DH is constructed by using the occurrence of a local pixel pair (LPP) consisting of each pixel and its surrounding pixels. However, the 2DH-based methods often produce over-stretching artefacts because the low-textured regions primarily existing in the image induce a spike at some LPPs in the 2DH. To solve this problem, the 2DH is constructed by employing two properties of the human visual system (HVS) as follows: the HVS has the better brightness discrimination in the dark region according to Weber's law, and the HVS is less sensitive to visual artefacts in the higher-textured regions. To create a spike-free 2DH, a weighting function reflecting these two properties of the HVS is designed for the LPP. As compared with the popular 2DH-based methods, the HE with the proposed 2DH can effectively enhance the image contrast while achieving the best perceptual similarity score between the input and output images.
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