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Enhancement of Region of Interest from a Single Backlit Image with Multiple Features

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Computer Vision and Image Processing (CVIP 2020)

Abstract

Backlit images are a combination of dark and bright regions and the objects in the image generally appear to be dark for human perception. The region of interest (ROI) in general confines to the object(s) present in the image or some regions of the image. Such ROI in backlit images have low contrast and it is difficult for visualization. Enhancement of ROI in backlit images is necessary in order to view the contents properly. In this paper, a novel and simple approach for the enhancement of ROI of backlit images is proposed. This approach considers several features including tone mappings, exposedness, gradient, median filtering, etc. and finally, the fusion of the results has been done. The novel contribution in the proposed method, though seems to be trivial, attained best results without applying pyramid based operations namely Laplacian pyramid and Gaussian pyramid. Efficacy of the proposed method is evident from the experimental results which confirm that the proposed approach gives better results both qualitatively (visualization) and quantitatively (objective evaluation) compared to the existing methods.

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Correspondence to P. V. S. S. R. Chandra Mouli .

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Yadav, G., Yadav, D.K., Mouli, P.V.S.S.R.C. (2021). Enhancement of Region of Interest from a Single Backlit Image with Multiple Features. In: Singh, S.K., Roy, P., Raman, B., Nagabhushan, P. (eds) Computer Vision and Image Processing. CVIP 2020. Communications in Computer and Information Science, vol 1377. Springer, Singapore. https://doi.org/10.1007/978-981-16-1092-9_39

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  • DOI: https://doi.org/10.1007/978-981-16-1092-9_39

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  • Online ISBN: 978-981-16-1092-9

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