Nonlinear color-image decomposition for image processing of a digital color camera

Takahiro Saito; Haruya Aizawa; Daisuke Yamada; Takashi Komatsu

doi:10.1117/12.805231

19 January 2009 Nonlinear color-image decomposition for image processing of a digital color camera

Takahiro Saito, Haruya Aizawa, Daisuke Yamada, Takashi Komatsu

Proceedings Volume 7250, Digital Photography V; 72500R (2009) https://doi.org/10.1117/12.805231
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

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.

Citation Download Citation

Takahiro Saito, Haruya Aizawa, Daisuke Yamada, and Takashi Komatsu "Nonlinear color-image decomposition for image processing of a digital color camera", Proc. SPIE 7250, Digital Photography V, 72500R (19 January 2009); https://doi.org/10.1117/12.805231

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available