A Robust Method for Dehazing of Single Image with Sky Region Detection and Segmentation

Author:

Pal Tannistha1

Affiliation:

1. Computer Science and Engineering Department, National Institute of Technology Agartala (NITA), Tripura 799046, India

Abstract

In recent times, there has been a tremendous progress in image dehazing for computer vision applications, while the sky region processed by these algorithms tends to degrade by noise and color distortion. In this paper, an improved dark channel prior algorithm is proposed which detects the sky region first and divides the image into sky region and non-sky region and then estimates the transmission of two parts separately, followed by combining with refining step. The proposed algorithm also accurately corrects the transmission of the sky region to avoid noise and color distortion. Experimental results show a greater quality improvement in the output images than the existing strategies.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Error Dependent Enhancement Method for Images Captured in Dense Fog;IoT Based Control Networks and Intelligent Systems;2022-10-12

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