Enhancing von Kries Adaptation via Sensor Transformations:In Proceedings: Human Vision, Visual Processing and Digital Display IV SPIE

Finlayson, Graham, Drew, M. S. and Funt, B. V. (1993) Enhancing von Kries Adaptation via Sensor Transformations:In Proceedings: Human Vision, Visual Processing and Digital Display IV SPIE. In: UNSPECIFIED.

Full text not available from this repository. (Request a copy)

Abstract

Von Kries adaptation has long been considered a reasonable vehicle for color constancy. Since the color constancy performance attainable via the von Kries rule strongly depends on the spectral response characteristics of the human cones, we consider the possibility of enhancing von Kries performance by constructing new `sensors' as linear combinations of the fixed cone sensitivity functions. We show that if surface reflectances are well-modeled by 3 basis functions and illuminants by 2 basis functions then there exists a set of new sensors for which von Kries adaptation can yield perfect color constancy. These new sensors can (like the cones) be described as long-, medium-, and short-wave sensitive; however, both the new long- and medium-wave sensors have sharpened sensitivities -- their support is more concentrated. The new short-wave sensor remains relatively unchanged. A similar sharpening of cone sensitivities has previously been observed in test and field spectral sensitivities measured for the human eye. We present simulation results demonstrating improved von Kries performance using the new sensors even when the restrictions on the illumination and reflectance are relaxed.

Item Type: Conference or Workshop Item (Paper)
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Interactive Graphics and Audio
Faculty of Science > Research Groups > Colour and Imaging Lab
Depositing User: Pure Connector
Date Deposited: 24 Nov 2014 15:08
Last Modified: 20 Jun 2023 14:36
URI: https://ueaeprints.uea.ac.uk/id/eprint/51266
DOI: 10.1117/12.152721

Actions (login required)

View Item View Item