Non-linear up-sampling for image coding in a spatial pyramid

Markus Beermann; Jens-Rainer Ohm

doi:10.1117/12.708208

29 January 2007 Non-linear up-sampling for image coding in a spatial pyramid

Markus Beermann, Jens-Rainer Ohm

Proceedings Volume 6508, Visual Communications and Image Processing 2007; 65082W (2007) https://doi.org/10.1117/12.708208
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

A locally adaptive up-sampling method that improves the efficiency of a spatially scalable representation of images in a spatial pyramid is presented. While linear methods use a globally optimized up-sampling filter design, the method presented locally switches between enhancement of significant structures and smoothing of flat regions that are dominated by noise. It is based on a locally adaptive Wiener filter expression that can be implemented by the bilateral filter. The performance of the method is assessed in a scenario resembling its possible use in MPEG's and ITU-T's joint current activity on scalable video coding (SVC).

Citation Download Citation

Markus Beermann and Jens-Rainer Ohm "Non-linear up-sampling for image coding in a spatial pyramid", Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65082W (29 January 2007); https://doi.org/10.1117/12.708208

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