r(i,j) Elements of a (MxN) residual block. – M Residual block height. – N Residual block width. – - Modified residual after vertical RDPCM with Prediction Chunking. At the decoder, the residuals can be reconstructed as follows: i Row count. – j Column count. – L – Chunking length. r(i,j) Recovered elements of a (MxN) residual block. – M Residual block height. – N Residual block width. – - Floor operator. - Modified residual after vertical RDPCM with Prediction Chunking. Equivalent expressions for forward and inverse inter RDPCM can be easily derived for the horizontal mode when using PC. Once RDPCM is performed on a block, samples in the first column and the first row for horizontal and vertical RDPCM, respectively, are not predicted. Therefore it is beneficial to exploit redundancy by performing prediction on these samples in the direction orthogonal to the main RDPCM direction. The HP tool performs a RDPCM along the first column of samples when horizontal RDPCM is selected as the best mode or along the first row for vertical RDPCM. For the case of vertical RDPCM, the HP is defined as: Where ( i = 0 ) First row . – j Column count. – r( i ,j) Recovered elements of a (MxN) residual block. – M Residual block height. – N Residual block width. – - Modified residual after vertical RDPCM with Prediction Chunking. A similar formalization can be defined for horizontal RDPCM.
r(i,j) – Elements of a (MxN) residual block. M – Residual block height. N – Residual block width. - Modified residual after vertical RDPCM with Prediction Chunking. At the decoder, the residuals can be reconstructed as follows: i – Row count. j – Column count. L – Chunking length. r(i,j) – Recovered elements of a (MxN) residual block. M – Residual block height. N – Residual block width. - Floor operator. - Modified residual after vertical RDPCM with Prediction Chunking. Equivalent expressions for forward and inverse inter RDPCM can be easily derived for the horizontal mode when using PC. Once RDPCM is performed on a block, samples in the first column and the first row for horizontal and vertical RDPCM, respectively, are not predicted. Therefore it is beneficial to exploit redundancy by performing prediction on these samples in the direction orthogonal to the main RDPCM direction. The HP tool performs a RDPCM along the first column of samples when horizontal RDPCM is selected as the best mode or along the first row for vertical RDPCM. For the case of vertical RDPCM, the HP is defined as: Where ( i = 0 ) – First row . j – Column count. r( i ,j) – Recovered elements of a (MxN) residual block. M – Residual block height. N – Residual block width. - Modified residual after vertical RDPCM with Prediction Chunking. A similar formalization can be defined for horizontal RDPCM.
SidduBPratapur_EE5359proposal.docx