Bayer and panchromatic color filter array demosaicing by sparse recovery

Mohammad Aghagolzadeh; Abdolreza Abdolhosseini Moghadam; Mrityunjay Kumar; Hayder Radha

doi:10.1117/12.872533

24 January 2011 Bayer and panchromatic color filter array demosaicing by sparse recovery

Mohammad Aghagolzadeh, Abdolreza Abdolhosseini Moghadam, Mrityunjay Kumar, Hayder Radha

Proceedings Volume 7876, Digital Photography VII; 787603 (2011) https://doi.org/10.1117/12.872533
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

The utility of Compressed Sensing (CS) for demosaicing of digital images have been explored by few recent efforts. Most recently, a Compressive Demosaicing [3] framework, based on employing a random panchromatic Color Filter Array (CFA) at the sensing stage, has provided compelling CS-based demosaicing results by visually outperforming other leading techniques. Meanwhile, it is well known that the Bayer pattern is arguably the most popular CFA used in low-cost consumer digital cameras. In this paper, we explore and compare the Bayer and random panchromatic CFA structures using a generic approach for demosaicing of images based on recent advances in the field of CS. In particular, a key objective of this work is to provide a comparative analysis between these two CFA patterns (Bayer and random panchromatic) under the general umbrella of sparse recovery, which represents the cornerstone of CS-based decoding. We demonstrate the viability of the Bayer pattern under certain CS conditions. Meanwhile, we show that a random panchromatic CFA, which meets certain incoherence constraints, can visually outperform a Bayer based sparse recovery. As illustrated in our simulation results, a panchromatic CFA is more consistent in terms of providing better visual quality when tested on a wide range of color images.

Citation Download Citation

Mohammad Aghagolzadeh, Abdolreza Abdolhosseini Moghadam, Mrityunjay Kumar, and Hayder Radha "Bayer and panchromatic color filter array demosaicing by sparse recovery", Proc. SPIE 7876, Digital Photography VII, 787603 (24 January 2011); https://doi.org/10.1117/12.872533

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