Single image dehazing based on vector quantization
| Autor: | Ting Chou Tsai, Jui Chiang Wen, Shen-Chuan Tai |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Vector quantization 02 engineering and technology Atmospheric model Computer Graphics and Computer-Aided Design Composite image filter Computer Science Applications Transmission (telecommunications) Hardware and Architecture 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence Single image business Software |
| Zdroj: | International Journal of Computers and Applications. 37:83-93 |
| ISSN: | 1925-7074 1206-212X |
| Popis: | This paper presents a method for the dehazing of images through the application of the atmosphere model associated with McCartney Optics. The proposed method is based on the assumption that similarities among hazy blocks are associated with similarities in transmissions. A coarse transmission map was fabricated using vector quantization and then refined using a guided image filter. Subtracting the effects of atmospheric light from hazy images makes it possible to obtain haze-free images. Experiment results demonstrate that the proposed method produces images that appear more natural than those obtained using other methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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