Content Adaptive Embedded Compression

Yuxiang Shen, Xiaolin Wu, Xiao Shu

Abstract: Image resolution in modern video processing and display systems are rocketing up in recent years. With the main stream video quality evolving from standard definition to high-definition, and further towards the emerging super high-definition, the bandwidth and power consumption of external memory are becoming serious bottlenecks. In this paper, frequency domain analysis is made on image down-sampling, which gives birth to the optimal sampling strategy for high-frequency energy protection. On that basis, we develop a new embedded compression (EC) technique, which encodes image frames through content-adaptive down-sampling and decodes them using side-information aided up-sampling. Apart from the low encoding complexity and even lower decoding complexity, the proposed EC algorithm also features high fidelity for images with sharp edges. Comparisons with some existing EC algorithms show the advantage of the new technique over its counterparts on a wide class of testing images.