Visual experiments for a subjective-based conditional-replenishment image-sequence coder incorporating texture freeze

Thomas V. Papathomas; David Malah

doi:10.1117/12.135970

27 August 1992 Visual experiments for a subjective-based conditional-replenishment image-sequence coder incorporating texture freeze

Thomas V. Papathomas, David Malah

Author Affiliations +

Proceedings Volume 1666, Human Vision, Visual Processing, and Digital Display III; (1992) https://doi.org/10.1117/12.135970
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

Abstract

We report on psychovisual experiments designed to obtain subjective-based thresholds for a novel conditional-replenishment image-sequence coder. This coder attempts to avoid the replenishment of textured blocks for which no subjective change has occurred from the previous to the current frame. Typically, such blocks give rise to a large difference signal with respect to the corresponding block in the previous image, and hence are coded (replenished) in commonly used coders. We designed and conducted extensive visual experiments to study the response of the human visual system to stimuli that are relevant to the coding algorithm. Three major classes of experiments were conducted with numerous parametric variations for each, in which the observers were asked to discriminate target elements with properties that differed from those of the background: (1) Uniform targets on uniform background of different intensity. (2) Textured targets of varying standard deviation on a uniform background of the same average intensity. (3) Textured targets on a textured background with the same standard deviation, but different average intensity. We report on the results of these experiments and on the improvement in the performance of the coder, as a result of implementing these results in the encoding algorithm.

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Thomas V. Papathomas and David Malah "Visual experiments for a subjective-based conditional-replenishment image-sequence coder incorporating texture freeze", Proc. SPIE 1666, Human Vision, Visual Processing, and Digital Display III, (27 August 1992); https://doi.org/10.1117/12.135970

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KEYWORDS

Visualization

Computer programming

Image filtering

Human vision and color perception

Target detection

Standards development

Video

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