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Proceedings Paper

Image contrast enhancement using Chebyshev wavelet moments
Author(s): Dm. V. Uchaev; D. V. Uchaev; V. A. Malinnikov
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Paper Abstract

A new algorithm for image contrast enhancement in the Chebyshev moment transform (CMT) domain is introduced. This algorithm is based on a contrast measure that is defined as the ratio of high-frequency to zero-frequency content in the bands of CMT matrix. Our algorithm enables to enhance a large number of high-spatial-frequency coefficients, that are responsible for image details, without severely degrading low-frequency contributions. To enhance high-frequency Chebyshev coefficients we use a multifractal spectrum of scaling exponents (SEs) for Chebyshev wavelet moment (CWM) magnitudes, where CWMs are multiscale realization of Chebyshev moments (CMs). This multifractal spectrum is very well suited to extract meaningful structures on images of natural scenes, because these images have a multifractal character. Experiments with test images show some advantages of the proposed algorithm as compared to other widely used image enhancement algorithms. The main advantage of our algorithm is the following: the algorithm very well highlights image details during image contrast enhancement.

Paper Details

Date Published: 8 December 2015
PDF: 6 pages
Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 987512 (8 December 2015); doi: 10.1117/12.2228603
Show Author Affiliations
Dm. V. Uchaev, Moscow State Univ. of Geodesy and Cartography (Russian Federation)
D. V. Uchaev, Moscow State Univ. of Geodesy and Cartography (Russian Federation)
V. A. Malinnikov, Moscow State Univ. of Geodesy and Cartography (Russian Federation)


Published in SPIE Proceedings Vol. 9875:
Eighth International Conference on Machine Vision (ICMV 2015)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev, Editor(s)

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