JOURNAL ARTICLE

Result Analysis-Edge-Preserving Decomposition-based Single Image Haze Removal

Puja RaniS. SonulalDeepak Mishra

Year: 2017 Journal:   International Journal of Computer Applications Vol: 158 (10)Pages: 25-28

Abstract

With the increase in industrial production and human activities, the concentration of atmospheric particulate matter (PM) is substantial increased, leading to fog and haze occurs more frequently.Limited visibility caused by suspended particles in the air, such as fog and haze, is a major problem for many applications of computer vision.The captured scenes by such computer vision systems suffer from poor visibility, low contrast, dimmed brightness, low luminance and distorted color, which makes detection of objects within the scene more difficult.Therefore visibility improvement, contrast and features enhancement of images and videos captured in bad weather, also called as dehazing, and is an inevitable task.Furthermore, estimated actual weather condition is valuable information to invoke corresponding approaches.

Keywords:
Computer science Haze Decomposition Enhanced Data Rates for GSM Evolution Image (mathematics) Artificial intelligence Computer vision Computer graphics (images) Chemistry

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Topics

Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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