Evaluation of contrast sensitivity functions for the formulation of quality measures incorporated in halftoning algorithms

Authors:
Theophano Mitsa;Krishna Lata Varkur
Affiliations:
Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa;Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa
Venue:
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
Year:
1993

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Abstract

Recently there has been an increasing interest in making visual models an intrinsic part of halftoning algorithms in order to improve the quality of the resulting halftone images. Due to computational constraints and the importance of filtering in the visual processing, the majority of visual models simply consist of a CSF. In this paper, we present a comparative study of different CSFs as to their suitability for the formulation of quality measures in halftoning. The evaluation of the different CSFs is implemented by weighting with each CSF the frequency domain halftoning error of 44 halftone images, and then comparing the resulting weighted errors with the results of a psychovisual test.