https://orcid.org/0000-0003-1796-5995
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ABSTRACT
Haze is a common atmospheric disturbance that adversely affects the quality of optical data, thus often restricting their usability. Since these effects are inherent in the process of spaceborne Earth sensing, it is important to develop effective methods to remove them. This work proposes a novel method for de-hazing satellite imagery and outdoor camera images. It is developed by modifying the transmission map used in Dark Channel Prior (DCP) method. A Weighted Variance Guided Filter (WVGF) is introduced for enhancing the image quality, which included a two-stage image decomposition and fusion process. The method also optimally combines the radiance and transmission components along with an additional stage modelling a fusion-based transparency function. A final guided filter-based image refinement scheme is incorporated to improve the processed image quality. The optimal tuning of the image-dependent parameters at various stages is achieved using the newly proposed Adaptive Black Widow Optimization (ABWO) algorithm, which makes the proposed de-hazing scheme fully automatic. Qualitative and quantitative performance analyses, and the results are compared with other state-of-the-art methods. The experimental results reveal that the proposed method performs better as compared with others, independent of the haze density, without losing the natural look of the scene.
Acknowledgements
This publication is supported in part by Young Faculty Fellowship project under Visvesvaraya PhD Scheme of Ministry of Electronics & Information Technology (MeitY), Govt. of India at National Institute of Technology, Karnataka, Surathkal, being implemented by Digital India Corporation (formerly Media Lab Asia), New Delhi, Grant No. DIC/MUM/GA/10(37)D, dated 24-01-2019.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author, [Shilpa Suresh], upon reasonable request. https://github.com/ShilpaSuresh89
Disclosure statement
No potential conflict of interest was reported by the author(s).
Supplemental material
The supplemental material for this article can be accessed here.
Correction Statement
This article has been republished with minor changes. These changes do not impact the academic content of the article.