Image coding by perceptual pruning with a cortical snapshot indistinguishability criterion

Michael J. Horowitz; David L. Neuhoff

doi:10.1117/12.320154

17 July 1998 Image coding by perceptual pruning with a cortical snapshot indistinguishability criterion

Michael J. Horowitz, David L. Neuhoff

Proceedings Volume 3299, Human Vision and Electronic Imaging III; (1998) https://doi.org/10.1117/12.320154
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

We introduce an image coding algorithm in which perceptual pruning is used to select the most perceptually relevant image components. The algorithm uses a new maximum likelihood based image indistinguishability criterion that derives from a cortical snapshot, which is a model of the response of striate cortical simple cells to the image at a given point of fixation. The criterion must be satisfied at all points of fixation. We demonstrate that this method selects image components in a better way than matching pursuit and show image coding results of high subjective quality at low encoding rates.

Citation Download Citation

Michael J. Horowitz and David L. Neuhoff "Image coding by perceptual pruning with a cortical snapshot indistinguishability criterion", Proc. SPIE 3299, Human Vision and Electronic Imaging III, (17 July 1998); https://doi.org/10.1117/12.320154

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