Super resolution video by using classified multi-filter up-sampling algorithm

H.264/Scalable Video Coding (SVC) is the extension of the H.264/AVC which is developed by the Joint Video Team (JVT) and Moving Picture Experts Group (MPEG). The extension allows multiple resolutions of an image sequence to be contained in a single bit stream. The various resolutions can be achieved by up-sampling a lower image resolution sequence. The up-sampling method employed in H.264/SVC is directly proportional to the video quality. In order to improve the video quality with an effective up-sampler, we propose a classified multi-filter up-sampling algorithm for H.264/SVC in spatial scalability which classifies an image region as edges and non edges. An appropriate filter is then applied to up-sample the image. In the proposed scheme, we applied the Wiener filter for edges and conventional bilinear filter for non edges within the defined window size to preserve the edges in the up-sampled image sequence. The experimental results show that the average PSNR improvement and bit-rate reduction are 0.4 dB and 7%, respectively, which confirm that the performance of the proposed method is better than that of the existing H.264/Scalable Video Coding standard.