Gradient-based correction of chromatic aberration in the joint acquisition of color and near-infrared images

Zahra Sadeghipoor; Yue M. Lu; Sabine Süsstrunk

doi:10.1117/12.2077102

27 February 2015 Gradient-based correction of chromatic aberration in the joint acquisition of color and near-infrared images

Zahra Sadeghipoor, Yue M. Lu, Sabine Süsstrunk

Author Affiliations +

Proceedings Volume 9404, Digital Photography XI; 94040F (2015) https://doi.org/10.1117/12.2077102
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

Chromatic aberration distortions such as wavelength-dependent blur are caused by imperfections in photographic lenses. These distortions are much more severe in the case of color and near-infrared joint acquisition, as a wider band of wavelengths is captured. In this paper, we consider a scenario where the color image is in focus, and the NIR image captured with the same lens and same focus settings is out-of-focus and blurred. To reduce chromatic aberration distortions, we propose an algorithm that estimates the blur kernel and deblurs the NIR image using the sharp color image as a guide in both steps. In the deblurring step, we retrieve the lost details of the NIR image by exploiting the sharp edges of the color image, as the gradients of color and NIR images are often correlated. However, differences of scene reflections and light in visible and NIR bands cause the gradients of color and NIR images to be different in some regions of the image. To handle this issue, our algorithm measures the similarities and differences between the gradients of the NIR and color channels. The similarity measures guide the deblurring algorithm to efficiently exploit the gradients of the color image in reconstructing high-frequency details of NIR, without discarding the inherent differences between these images. Simulation results verify the effectiveness of our algorithm, both in estimating the blur kernel and deblurring the NIR image, without producing ringing artifacts inherent to the results of most deblurring methods.

Citation Download Citation

Zahra Sadeghipoor, Yue M. Lu, and Sabine Süsstrunk "Gradient-based correction of chromatic aberration in the joint acquisition of color and near-infrared images", Proc. SPIE 9404, Digital Photography XI, 94040F (27 February 2015); https://doi.org/10.1117/12.2077102

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