Locally adaptive complex wavelet-based demosaicing for color filter array images

Jan Aelterman; Bart Goossens; Aleksandra Pižurica; Wilfried Philips

doi:10.1117/12.807347

27 January 2009 Locally adaptive complex wavelet-based demosaicing for color filter array images

Jan Aelterman, Bart Goossens, Aleksandra Pižurica, Wilfried Philips

Proceedings Volume 7248, Wavelet Applications in Industrial Processing VI; 72480J (2009) https://doi.org/10.1117/12.807347
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

A new approach for wavelet-based demosaicing of color filter array (CFA) images is presented. It is observed that conventional wavelet-based demosaicing results in demosaicing artifacts in high spatial frequency regions of the image. By proposing a framework of locally adaptive demosaicing in the wavelet domain, the presented method proposes computationally simple techniques to avoid these artifacts. In order to reduce computation time and memory requirements even more, we propose the use of the dual tree complex wavelet transform. The results show that wavelet-based demosaicing, using the proposed locally adaptive framework, is visually comparable with state-of-the-art pixel based demosaicing. This result is very promising when considering a low complexity wavelet-based demosaicing and denoising approach.

Citation Download Citation

Jan Aelterman, Bart Goossens, Aleksandra Pižurica, and Wilfried Philips "Locally adaptive complex wavelet-based demosaicing for color filter array images", Proc. SPIE 7248, Wavelet Applications in Industrial Processing VI, 72480J (27 January 2009); https://doi.org/10.1117/12.807347

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