Block loss recovery using fractal extrapolation for fractal coded images

The effect of block loss due to the cell loss in ATM transmission is more serious in fractal coded images than in DCT coded images. It is the reason that in fractal coded images the effect of block loss is not confined to each lost block itself but is propagated to the range blocks other than the lost blocks. A new algorithm is presented for recovering the blocks lost in the transmission of the images coded by Jacquin´s fractal coding. The key technique of the proposed BLRA (block loss recovery algorithm) is a fractal extrapolation that estimates the lost pixels by using the contractive mapping parameters of the neighboring range blocks which satisfy the connectivity to a lost block. The proposed BLRA is applied to the lost blocks in the iteration of decoding. Some experimental results show the proposed BLRA yields excellent performance in PSNR as well as subjective quality