Partial differential equation-based approach for removal of chromatic aberration with local characteristics

Hee Kang; Suk-Ho Lee; Joonyoung Chang; Moon Gi Kang

doi:10.1117/1.3494278

1 July 2010 Partial differential equation-based approach for removal of chromatic aberration with local characteristics

Hee Kang, Suk-Ho Lee, Joonyoung Chang, Moon Gi Kang

Author Affiliations +

Journal of Electronic Imaging, Vol. 19, Issue 3, 033016 (July 2010). https://doi.org/10.1117/1.3494278

Abstract

We propose a chromatic aberration (CA) reduction technique that removes artifacts caused by lateral CA and longitudinal CA, simultaneously. In general, most visible CA-related artifacts appear locally in the neighborhoods of strong edges. Because these artifacts usually have local characteristics, they cannot be removed well by regular global warping methods. Therefore, we designed a nonlinear partial differential equation (PDE) in which the local characteristics of the CA are taken into account. The proposed algorithm estimates the regions with apparent CA artifacts and the ratios of the magnitudes between the color channels. Using this information, the proposed PDE matches the gradients of the edges in the red and blue channels to the gradient in the green channel, which results in an alignment of the positions of the edges while simultaneously performing a deblurring process on the edges. Experimental results show that the proposed method can effectively remove even significant CA artifacts, such as purple fringing as identified by the image sensor. The experimental results show that the proposed algorithm achieves better performance than existing algorithms.

©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Hee Kang, Suk-Ho Lee, Joonyoung Chang, and Moon Gi Kang "Partial differential equation-based approach for removal of chromatic aberration with local characteristics," Journal of Electronic Imaging 19(3), 033016 (1 July 2010). https://doi.org/10.1117/1.3494278

Published: 1 July 2010

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