Share Email Print
cover

Proceedings Paper

Nonlinear color-image decomposition for image processing of a digital color camera
Author(s): Takahiro Saito; Haruya Aizawa; Daisuke Yamada; Takashi Komatsu
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper extends the BV (Bounded Variation) - G and/or the BV-L1 variational nonlinear image-decomposition approaches, which are considered to be useful for image processing of a digital color camera, to genuine color-image decomposition approaches. For utilizing inter-channel color cross-correlations, this paper first introduces TV (Total Variation) norms of color differences and TV norms of color sums into the BV-G and/or BV-L1 energy functionals, and then derives denoising-type decomposition-algorithms with an over-complete wavelet transform, through applying the Besov-norm approximation to the variational problems. Our methods decompose a noisy color image without producing undesirable low-frequency colored artifacts in its separated BV-component, and they achieve desirable high-quality color-image decomposition, which is very robust against colored random noise.

Paper Details

Date Published: 19 January 2009
PDF: 12 pages
Proc. SPIE 7250, Digital Photography V, 72500R (19 January 2009); doi: 10.1117/12.805231
Show Author Affiliations
Takahiro Saito, Kanagawa Univ. (Japan)
Haruya Aizawa, Kanagawa Univ. (Japan)
Daisuke Yamada, Kanagawa Univ. (Japan)
Takashi Komatsu, Kanagawa Univ. (Japan)


Published in SPIE Proceedings Vol. 7250:
Digital Photography V
Brian G. Rodricks; Sabine E. Süsstrunk, Editor(s)

© SPIE. Terms of Use
Back to Top