摘要
ＡｎＡｄａｐｔｉｖｅＱｕａｎｔｉｚａｔｉｏｎＡｌｇｏｒｉｔｈｍｆｏｒＭＰＥＧ２ＶｉｄｅｏＣｏｄｉｎｇＺｏｕＣａｉｒｏｎｇ（邹采荣）ＬｕｏＬｉｊｕｎ（骆立俊）ＹａｎｇＬüｘｉ（杨绿溪）ＨｅＺｈｅｎｙａ（何振亚）（ＤｅｐａｒｔｍｅｎｔｏｆＲａｄｉｏＥ...
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. Experimental results show that this method can reduce blocky artifacts of flat area and distortion at edge effectively. Meanwhile, the picture subjective quality and objective quality of each frame are improved.
