Stochastic texture synthesis for video compression

Stijn de Waele; Fei Zuo

doi:10.1117/12.765368

28 January 2008 Stochastic texture synthesis for video compression

Stijn de Waele, Fei Zuo

Proceedings Volume 6822, Visual Communications and Image Processing 2008; 68220X (2008) https://doi.org/10.1117/12.765368
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

Low-bitrate digital video often suffers from the artifact of texture flattening. Texture synthesis can be used to revive the removed texture. Patch-based synthesis provides a quite general method for texture synthesis. However, this method still requires a substantial bitrate to transmit example patches. We propose a method for stochastic texture synthesis which requires only a very low bitrate (less than 1 kbit/sec) that can replace patch-based synthesis for random textures. Spatial correlation is modeled as a 2-dimensional Moving Average (MA) process. To achieve a faithful representation of temporal evolution, we use a translation+scaling motion model combined with a finite impulse response (FIR) filter. Experiments show that we can successfully reduce texture flattening for a range of random textures such as grass and roads.

Citation Download Citation

Stijn de Waele and Fei Zuo "Stochastic texture synthesis for video compression", Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68220X (28 January 2008); https://doi.org/10.1117/12.765368

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