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With the coming age of big data, the cloud technology, referred to as the computations or applications through the Internet, is dramatically developed. The screen content has become one of the most common data form due to the extraordinary advance of network communication technology, and the JCT-VC has started to develop new standard focusing on improving the efficiency of screen content based on...
We propose a perceptual video coding framework based on the divisive normalization scheme, which is found to be an effective approach to model the perceptual sensitivity of biological vision, but has not been fully exploited in the context of video coding. At the macroblock (MB) level, we derive the normalization factors based on the structural similarity (SSIM) index as an attempt to transform the...
We propose a perceptual video coding framework based on an SSIM-inspired divisive normalization scheme as an attempt to transform the DCT domain frame prediction residuals to a perceptually uniform space before coding. Based on the residual divisive normalization process, we define a distortion model for mode selection and show that such a divisive normalization strategy largely simplifies the subsequent...
The structural similarity (SSIM) index has been found to be a good indicator of perceived image quality. In this paper, we propose a rate-SSIM optimization scheme for mode selection in H.264/AVC video coding. To derive the Lagrange multiplier based on the properties of input sequences, a novel reduced-reference statistical SSIM model and a source-side information combined rate model are established...
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