Single-Image Dehazing Using Extreme Reflectance Channel Prior
| Autor: | Hong Wang, Zizheng Hua, Xiaodian Zhang, Junwei Wang, Zhang Yutong, Qiong Wu, Kun Gao |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Haze
General Computer Science Channel (digital image) Pixel Scattering business.industry Computer science General Engineering Atmospheric model transmission map Reflectivity Dehaze TK1-9971 Transmission (telecommunications) Histogram extreme reflectance channel General Materials Science Computer vision Electrical engineering. Electronics. Nuclear engineering Artificial intelligence Electrical and Electronic Engineering business |
| Zdroj: | IEEE Access, Vol 9, Pp 87826-87838 (2021) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2021.3090202 |
| Popis: | Image dehazing algorithms based on dark channel prior principle have achieved good results for most scenes. However, the popular dark channel prior tends to underestimate transmissions of bright areas or objects, such as the skies, white areas and self-luminous bodies, which may cause color distortions during dehazing. A complementary prior called the extreme reflectance channel prior (ERC), which combines the dark channel prior with the bright channel prior, is proposed to estimate the transmission map. The extreme reflectance channel is the union of dark and bright channel’s pixels which satisfy the corresponding channel. Based on the scattering analysis results that the intensities of pixels in ERC are often close to 0 or 1 for the natural haze-free images or close to global atmospheric light if hazes occur in the air, the pixels in a hazy image can be recovered according to ERC to calculate the transmission map and then solve the haze imaging mode. Experiments show that ERC method outperforms state-of-the-art methods in PSNR, SSIM and visual perception effects. |
| Databáze: | OpenAIRE |
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