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Article type: Research Article
Authors: Abin, Deepa; * | Thepade, Sudeep D.; *
Affiliations: Computer Department, PCCoE, SPPU, Pune, Maharashtra, India
Correspondence: [*] Corresponding authors. Deepa Abin, E-mail: deepa.abin@pccoepune.org; Sudeep D. Thepade, E-mail: sudeepthepade@gmail.com.
Abstract: In today’s digital times, the quality of video frames is ubiquitous, and the presence of shadows is undesirable in computer vision applications. Shadow suppression is of paramount significance in crucial application areas, especially in outdoor scene environments. The objects present in the environment occlude the light. Most of the work in literature focuses on single shadow regions in a frame or an image. Different methods are proposed in the literature. This challenging area of shadows suppression is addressed with the proposed method, as a novel amalgamation, with Adaptive Gamma Weighted Correction and modified Exemplar based inpainting method. The paper discusses different single shadow scenarios and multiple distributed shadow regions. Across four datasets, and objective evaluation using three performance metrics, the obtained average Entropy of 7.032, ‘Blind Reference Image Spatial Quality Evaluator (BRISQUE)’ of 26.2031, and ‘No-Reference Image Quality Evaluator (NIQE)’ of 3.699 have demonstrated considerable results.
Keywords: Shadow suppression, AGWCD, exemplar inpainting, outdoor scene, color space
DOI: 10.3233/JIFS-212823
Journal: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 2907-2919, 2022
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