Pyramid Coding Of Images Using Visual Criterion

R. P. Rao; W. A. Pearlman

doi:10.1117/12.970136

1 November 1989 Pyramid Coding Of Images Using Visual Criterion

R. P. Rao, W. A. Pearlman

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970136
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

An image pyramid incorporating properties of the human visual system is developed and is used for compressing images. Generation of the pyramid is done in two stages: in the first stage quadrature mirror filters (QMFs) are used to decompose the image; in the second stage directional "dome" filters are applied to the subbands generated by the QMFs. The dome filter is designed such that its impulse response function resembles the receptive field of the human cortical cell. Perfect reconstruction is possible by simply interpolating, filtering and adding the various subbands. Optimal quantization of the oriented pyramid components is done based on sensitivity of the visual system. Simulation results are presented for the "lena" image.

Citation Download Citation

R. P. Rao and W. A. Pearlman "Pyramid Coding Of Images Using Visual Criterion", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970136

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