Model-based color image sequence quantization

Clayton Brian Atkins; Thomas J. Flohr; Dennis P. Hilgenberg; Charles A. Bouman; Jan P. Allebach

doi:10.1117/12.172682

1 May 1994 Model-based color image sequence quantization

Clayton Brian Atkins, Thomas J. Flohr, Dennis P. Hilgenberg, Charles A. Bouman, Jan P. Allebach

Proceedings Volume 2179, Human Vision, Visual Processing, and Digital Display V; (1994) https://doi.org/10.1117/12.172682
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

We investigate the display of color image sequences using a model-based approach to multilevel error diffusion. We extend Bouman and Kolpatzik's technique for design of optimal filters to the temporal dimension. Our model for the human visual system accounts for the spatial and temporal frequency dependence of the contrast sensitivity of the luminance and chrominance channels. We observe an improvement in image quality over that yielded by frame-independent quantization, when the frame rate is sufficiently high to support temporal averaging by the human visual system.

Citation Download Citation

Clayton Brian Atkins, Thomas J. Flohr, Dennis P. Hilgenberg, Charles A. Bouman, and Jan P. Allebach "Model-based color image sequence quantization", Proc. SPIE 2179, Human Vision, Visual Processing, and Digital Display V, (1 May 1994); https://doi.org/10.1117/12.172682

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