An adaptive down-sampling based video coding with hybrid super-resolution method

It has been proven that performance of video coding at low bit rates can be improved by down-sampling a video before compression and then using super-resolution to up-sample it after decompression. Such techniques are especially important for limited bandwidth communications. In this paper we propose an adaptively down-sampling based coding (DBC) method which performs rate distortion (RD) optimization to determine the coding structure between regular coding and down-sampling coding. In order to restore the original resolution of down-sampling coded video signals, a hybrid super-resolution (SR) algorithm which combines motion compensation (MC) based SR and wiener filter based SR is used. Experimental results show that our method has improvement both in rate-distortion performance and perceived visual quality at low bit rate.