Title

Fast algorithms for histogram matching: Application to texture synthesis

Authors

Authors

J. P. Rolland; V. Vo; B. Bloss;C. K. Abbey

Comments

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Abbreviated Journal Title

J. Electron. Imaging

Keywords

EQUALIZATION; PERFORMANCE; BACKGROUNDS; TRANSFORMS; MODELS; Engineering, Electrical & Electronic; Optics; Imaging Science &; Photographic Technology

Abstract

Texture synthesis is the ability to create ensembles of images of similar structures from sample textures that have been photographed. The method we employ for texture synthesis is based on histogram matching of images at multiple scales and orientations. This paper reports two fast and in one case simple algorithms for histogram matching We show that the sort-matching and the optimal cumulative distribution function (CDF)-matching (OCM) algorithms provide high computational speed compared to that provided by the conventional approach. The sort-matching algorithm also provides exact histogram matching. Results of texture synthesis using either method show no subjective perceptual differences. The sort-matching algorithm is attractive because of its simplicity and speed, however as the size of the image increases, the OCM algorithm may be preferred for optimal computational speed. (C) 2000 SPIE and IS&T. [S1017-9909(00)00601-2].

Journal Title

Journal of Electronic Imaging

Volume

9

Issue/Number

1

Publication Date

1-1-2000

Document Type

Article

Language

English

First Page

39

Last Page

45

WOS Identifier

WOS:000085104000005

ISSN

1017-9909

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