Variational Image Dehazing using a Fuzzy Membership Function
- Authors
- Park, Hasil; Park, Jinho; Kim, Heegwang; Paik, Joonki
- Issue Date
- Apr-2017
- Publisher
- 대한전자공학회
- Keywords
- Dehazing; Fuzzy membership function; L1-norm–based regularization
- Citation
- IEIE Transactions on Smart Processing & Computing, v.6, no.2, pp 85 - 92
- Pages
- 8
- Journal Title
- IEIE Transactions on Smart Processing & Computing
- Volume
- 6
- Number
- 2
- Start Page
- 85
- End Page
- 92
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/5820
- DOI
- 10.5573/IEIESPC.2017.6.2.085
- ISSN
- 2287-5255
- Abstract
- This paper presents a dehazing method based on a fuzzy membership function and variational method. The proposed algorithm consists of three steps: i) estimate transmission through a pixel-based operation using a fuzzy membership function, ii) refine the transmission using an L1- norm–based regularization method, and iii) obtain the result of haze removal based on a hazy image formation model using the refined transmission. In order to prevent color distortion of the sky region seen in conventional methods, we use a trapezoid-type fuzzy membership function. The proposed method acquires high-quality images without halo artifacts and loss of color contrast.
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Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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