Constrained texture synthesis for image post processing

Abstract

A novel constrained texture synthesis approach is proposed to enhance the visual quality of a degraded image by reconstructing its high frequency texture content. In low-bit-rate image and video compression and communication systems, high frequency transformed coefficients are often lost due to aggressive quantization or un-even error protection schemes. However, with the block-based encoding and transmission methods, the amount of high frequency texture loss is uneven between adjacent blocks. As such, it is possible to exploit this texture-level correlation between adjacent image blocks to reconstruct the lost texture. This is accomplished by applying a state of art patch-based quilting texture synthesis algorithm in this paper.