The treatment of image boundary effects in CMAC networks

This paper proposes a novel coding procedure which makes two dimension CMAC networks learn the feature of transmitted image without boundary effects. As a result, the reconstructed image from the proposed CMAC networks gets higher PSNR. Finally, we apply CMAC networks to JPEG compression. Experimental results demonstrate that the presented method can get higher PSNR at lower bit rate after reconstruction.