Haze Removal for a Single Image Using Adaptive Template Dark Channel Prior
Year: 2014
Type: article
Abstract: In this paper, we propose an adaptive template method based on the dark channel prior. The method combines with the haze imaging model to haze removal for a single image. This method can effectively remove haze from a single input image. According to the characteristics of the image itself and the haze removal effect of the different template we divide the input image into flat region, edge region and texture region. Then, select the lager size template dispose the flat region and use midrange or minitype template dispose the edge region and texture area. Experimental results demonstrate that the proposed algorithm has very good performance for fog removal and retains the image details more effectively.
Source: Applied Mechanics and Materials
Authors: Jing Zhang, Wei Dong, Juan Li, Xu Ning Liu
Institutions: Shijiazhuang University, Hebei Normal University
Language: English
Topic: Image Enhancement Techniques
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2012841050