Journals Proceedings

Abstract

In image compression the key challenge is to efficiently encode and represent high frequency image structural components such as patterns, edges and textures. In this work, we develop an efficient image compression scheme based on super-spatial prediction of structural units. This so-called super-spatial prediction is motivated by motion prediction in video coding, attempting to find an optimal prediction of structure components within previously encoded image regions.