An adaptive quantization algorithm for MPEG-2 video coding
نویسندگان
چکیده
An adaptive quantization algorithm for MPEG-2 video coding using neural network is presented in this paper. The proposed algorithm uses BP neural network to divide the macroblock activity into one of four categories: flat. edge. texture. fine-texture. and thus the macroblock can be quantized adaptively according to the human vision system (HVS) sensitivity. Experiment results show that this method can reduce blocky artifacts of flat area and distortion at edge effectively. Meanwhile, the picture sub.jective quality and objective quality of each frame are improved.
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