Differential Codes Transmitting in Pyramidal CMAC Networks

Differential codes transmitting in pyramidal CMAC networks to improve image PSNR is proposed in this paper. We propose a novel coding procedure, which can make the CMAC network use few computations to learn the feature of transmitted image with only one-shot training. So some sampled data of the original image can be sent to reconstruct a coarse image quickly. In the meanwhile, differential codes are transmitted in the proposed pyramidal architecture by the request of receiver to improve the image quality. As a result, the reconstructed image at the bottom of pyramidal CMAC networks will get higher PSNR. Finally, pyramidal CMAC networks are applied to JPEG compression. Experimental results demonstrate the proposed method can get higher PSNR at lower bit rate after reconstruction.