SINGLE IMAGE REFLECTION REMOVAL WITH SEGMENTATION

Removal of reflection is of high importance to reclaim the original background image. Several attempts have been made to separate reflection from background. A number of approaches are based on assuming certain conditions about the reflective material (glass) and type of reflection. Humans can separ...

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Bibliographic Details
Published inICTACT journal on image and video processing Vol. 12; no. 4; pp. 2730 - 2734
Main Authors Rashmi Chaurasiya, Dinesh Ganotra
Format Journal Article
LanguageEnglish
Published ICT Academy of Tamil Nadu 01.05.2022
Subjects
deep learning
reflection removal
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Summary:Removal of reflection is of high importance to reclaim the original background image. Several attempts have been made to separate reflection from background. A number of approaches are based on assuming certain conditions about the reflective material (glass) and type of reflection. Humans can separate familiar objects easily due to the understanding of the objects in scene, same analogy is applied here. In this paper, additional information of segmentation map is utilized rather than using a single reflection image as input. Estimated segmentation map corresponds to the composite image. Our aim is to investigate the efficacy of segmentation map in reflection removal approaches. Proposed method performs adequately on real-world images and suppresses the reflection components in background effectively.
ISSN:0976-9099
0976-9102
DOI:10.21917/ijivp.2022.0387