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Proceedings Paper

An approach for visibility improvement of dark color images using adaptive gamma correction and DCT-SVD
Author(s): Mayank Tiwari; Subir Singh Lamba; Bhupendra Gupta
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Paper Abstract

This paper proposes an efficient method to improve visibility of dark color images and video sequences. Visibility improvement of dark color images play a significant role in computer vision, digital image processing and pattern recognition. In the proposed method we have worked in hue-saturation-value (HSV) color model. The proposed method initially decomposes the V-plane of the input image into low and high frequency components using DCT; it then estimates the singular value matrix of the low-frequency component. After applying certain processing to improve visibility of the dark color image, it reconstructs the processed image by applying inverse DCT. Experimental results show that the proposed method produces enhanced images of comparable or higher quality than those produced using previous state-of-the-art methods.

Paper Details

Date Published: 11 July 2016
PDF: 5 pages
Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100110R (11 July 2016); doi: 10.1117/12.2242875
Show Author Affiliations
Mayank Tiwari, Indian Institute of Information Technology, Design & Manufacturing Jabalpur (India)
Subir Singh Lamba, Indian Institute of Information Technology, Design & Manufacturing Jabalpur (India)
Bhupendra Gupta, Indian Institute of Information Technology, Design & Manufacturing Jabalpur (India)


Published in SPIE Proceedings Vol. 10011:
First International Workshop on Pattern Recognition
Xudong Jiang; Guojian Chen; Genci Capi; Chiharu Ishll, Editor(s)

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