4 March 2015 Video pre-processing with JND-based Gaussian filtering of superpixels
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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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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