Image Coding on a Hexagonal Pyramid with Noise Spectrum Shaping

B. Mahesh; W. A. Pearlman

doi:10.1117/12.970087

1 November 1989 Image Coding on a Hexagonal Pyramid with Noise Spectrum Shaping

B. Mahesh, W. A. Pearlman

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970087
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

A hexagonally sampled image is split into a low pass band and nine pass bands of one octave width and sixty degrees angular orientation. The conditions to be satisfied by the filter banks for perfect reconstruction are presented. The human visual system's response to stimuli at differing spatial frequencies is then employed to shape the coding noise spectrum. Rate is allocated under a frequency weighted mean squared error distortion measure. A framework is presented for doing this employing either the power spectral density of the image or the variance of the subbands. Both adaptive and non-adaptive entropy coding simulations are carried out under a Laplacian source distribution. Transparent coding results are presented at rates below 1 bit per pixel.

Citation Download Citation

B. Mahesh and W. A. Pearlman "Image Coding on a Hexagonal Pyramid with Noise Spectrum Shaping", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970087

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