4 March 2015 Video pre-processing with JND-based Gaussian filtering of superpixels
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Abstract
In this paper, an innovative method of HEVC video pre-processing is proposed. The method applies a simple linear iterative clustering (SLIC), which adapts a k-means clustering to group pixels into perceptually meaningful atomic regions of superpixels. By calculating the average of weighted average of luminance differences around each pixel in the superpixel, a suitable parameter of Gaussian filter for the superpixel is determined. Experimental results show that bit rate can be reduced up to 29% without loss in visual quality.
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Lei Ding, Lei Ding, Ge Li, Ge Li, Ronggang Wang, Ronggang Wang, Wenmin Wang, Wenmin Wang, "Video pre-processing with JND-based Gaussian filtering of superpixels", Proc. SPIE 9410, Visual Information Processing and Communication VI, 941004 (4 March 2015); doi: 10.1117/12.2083818; https://doi.org/10.1117/12.2083818
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