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Proceedings Paper

Subjective evaluation of scale-space image coding
Author(s): Huib de Ridder
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Paper Abstract

Six experiments are described in which the perceived quality of scale- space-coded color images has been assessed by means of numerical category scaling. 'Scale space' is a pyramidal multiresolution image- coding technique in which data reduction is accomplished by quantizing the prediction error signals on different scales of the pyramid. This coding technique has been applied to the luminance as well as the chrominance components of color images of three static complex scenes. The main coding parameters were degree of uniform quantization and scale level of a quantization error. The results show that the magnitude of impairment due to quantizing the prediction error signal on a given scale of the luminance component depends on the scale level as well as on the content of the scene, that high-resolution color information does not contribute to image quality, that perceptually distinct impairments combine according to a Minkowski metric with an exponent that is slightly above 2 and that perceptually similar impairments combine according to a Minkowski metric with an exponent that is slightly above 1. The applicability of Allnatt's 'law of subjective addition' is discussed.

Paper Details

Date Published: 1 June 1991
PDF: 12 pages
Proc. SPIE 1453, Human Vision, Visual Processing, and Digital Display II, (1 June 1991); doi: 10.1117/12.44342
Show Author Affiliations
Huib de Ridder, Institute for Perception Research (Netherlands)


Published in SPIE Proceedings Vol. 1453:
Human Vision, Visual Processing, and Digital Display II
Bernice E. Rogowitz; Michael H. Brill; Jan P. Allebach, Editor(s)

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