11 July 2016 An approach for visibility improvement of dark color images using adaptive gamma correction and DCT-SVD
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Proceedings Volume 10011, First International Workshop on Pattern Recognition; 100110R (2016) https://doi.org/10.1117/12.2242875
Event: First International Workshop on Pattern Recognition, 2016, Tokyo, Japan
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.
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Mayank Tiwari, Subir Singh Lamba, Bhupendra Gupta, "An approach for visibility improvement of dark color images using adaptive gamma correction and DCT-SVD", Proc. SPIE 10011, First International Workshop on Pattern Recognition, 100110R (11 July 2016); doi: 10.1117/12.2242875; https://doi.org/10.1117/12.2242875
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