Image quality evaluation with a contour-based perceptual model

Timothy A. Grogan; David P. Keene

doi:10.1117/12.135967

27 August 1992 Image quality evaluation with a contour-based perceptual model

Timothy A. Grogan, David P. Keene

Proceedings Volume 1666, Human Vision, Visual Processing, and Digital Display III; (1992) https://doi.org/10.1117/12.135967
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

Abstract

A computational model for the human perception of image brightness utilizing both local and global interactions has been advanced by Grossberg, Mingolla and Todorovic. A simulation of this multi-layer, non-linear recurrent network model can be used to assess perceived image quality. The model is validated by examining the simulation of a classical brightness perception phenomenon, in particular, Glass patterns. Results of a comparative evaluation of three halftoning algorithms are offered which indicate that the model is useful for the evaluation of image processing algorithms. Human subjects ranked the quality of the images halftoned with each of three different algorithms at two different viewing distances. After processing by the brightness perception model, ranking of objective measures of the simulated model output correspond with the rankings assigned by human observers.

Citation Download Citation

Timothy A. Grogan and David P. Keene "Image quality evaluation with a contour-based perceptual model", Proc. SPIE 1666, Human Vision, Visual Processing, and Digital Display III, (27 August 1992); https://doi.org/10.1117/12.135967

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