2.2PSNRe(m,n)=x(m,n)-y(m,nme[0, M -1],ne[0, N -1]M-1 N-11ZEe(m,n)uMNm=0 n=0M-1N-11Z(e(m,n)-u)MNm=0 n=02552(dB)PSNR = 101g2O
2.2 PSNR ( ) ( ) ( ) ( ) ( ( ) ) ( ) 1 1 0 0 1 1 2 2 0 0 2 2 , , , 0, 1 , 0, 1 1 , 1 , 255 10lg M N e m n M N e e m n e e m n x m n y m n m M n N μ e m n MN σ e m n u MN PSNR dB σ − − = = − − = = = − − − = = − =
3 PredictionGOP（GroupOfPictures)I Frame (Intra Frame)B Frame (Bi-direction Frame)P Frame (Prediction Frame)MB(MacroBlock)MV(Motion VectorME(Motion Estimation)MC(Motion Compensation)
3 Prediction GOP (Group Of Pictures) I Frame (Intra Frame) B Frame (Bi-direction Frame) P Frame (Prediction Frame) MB (Macro Block) MV (Motion Vector) ME (Motion Estimation) MC (Motion Compensation)
BFrameBFramePFrameBFrameIFrameGOP(LB,B,B,P)MB(MV,ME,MC)MB(P)-MB(0)>O,f(MB(B);MB(0),MB(P))>0
I Frame B Frame B Frame B Frame P Frame GOP(I, B, B, B, P) MB(MV, ME, MC) MB(P)-MB(I)→0, f(MB(B);MB(I),MB(P))→0
4Transform4.1HT4.2DCT4.3DWT
4 Transform 4.1 HT 4.2 DCT 4.3 DWT
4.1HTHadamard TransformHadamardMatrix
4.1 HT Hadamard Transform Hadamard Matrix