Segmentation-based texture coding algorithm for packet video: a goal-oriented approach

Day-Fann Shen; Sarah A. Rajala

doi:10.1117/12.131385

1 November 1992 Segmentation-based texture coding algorithm for packet video: a goal-oriented approach

Day-Fann Shen, Sarah A. Rajala

Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131385
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

The design of an image coder for packet-switched transmission is formulated as a minimization problem. A general set of design requirements is derived and used to design a segmentation-based texture coding algorithm. The segmentation process is performed on a pyramid data structure and uses the just noticeable difference (JND) of the human visual system as the merge criterion. To reduce the bit-rate while maintaining image quality, each region is classified as either texture or non-texture. Texture regions are approximated by a one-dimensional polynomial, while the non-texture regions are approximated by the region's mean intensity. A set of parameters for bit-rate/image quality tuning is identified and their effect evaluated on LENA and HOUSE.

Citation Download Citation

Day-Fann Shen and Sarah A. Rajala "Segmentation-based texture coding algorithm for packet video: a goal-oriented approach", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); https://doi.org/10.1117/12.131385

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