Abstract
Super resolution technique was first proposed for enhancing the image resolution, and then it was expanded to video sequence for obtaining a higher resolution video from low resolution input. Recently, super-resolution based video coding has emerged as an important research topic as the image resolution increases rapidly and the downsampling coding is very efficient for bit rate reduction. With the super-resolution algorithm, we can encode the input video with low resolution at lower bitrate and reconstruct a high resolution video efficiently at the decoder side. In this paper, a block adaptive super resolution based coding framework is proposed for video coding. In the proposed scheme, block adaptive downsampling and upsampling with super-resolution is selected based on the rate-distortion cost decision, where the distortion caused by super-resolution algorithm in the reconstruction process is also included. Experimental results show that the proposed scheme is very promising for high resolution coding.
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