New Image Compression Framework with Super-Resolution Technique
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    Abstract:

    In this work, a novel video compression framework with super-resolution technique is proposed. The input image is first down sampled by down sampling factor 2. Then the down sampled image is coded by JPEG standard. A novel hybrid super-resolution (SR) method is applied to decoded down sampled image. Meanwhile, feedback is designed to further improve the quality of final decoded video. Specifically, by original image subtracts super-resolution image is residual assistance image at encoder side. Then, this residual assistance image can be compensated for the loss of high-frequency details in SR process at decoder side. Moreover, only one quantization parameter (QP) to control the quality of coding image is needed for the whole framework. Evaluations have been made in comparison with JPEG standard coding scheme. Experimental results show that proposed coding framework achieves significant bitrate saving and compression ratio increase at similar objective quality levels.

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He Xiaohai, Wu Di, Teng Qizhi, Qing Linbo, Huang Jianqiu. New Image Compression Framework with Super-Resolution Technique[J].,2014,29(1):36-42.

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  • Received:
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  • Online: March 14,2014
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