Median filtering in multispectral filter array demosaicking

Xingbo Wang; Jean-Baptiste Thomas; Jon Yngve Hardeberg; Pierre Gouton

doi:10.1117/12.2005256

4 February 2013 Median filtering in multispectral filter array demosaicking

Xingbo Wang, Jean-Baptiste Thomas, Jon Yngve Hardeberg, Pierre Gouton

Proceedings Volume 8660, Digital Photography IX; 86600E (2013) https://doi.org/10.1117/12.2005256
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

Inspired by the concept of the colour filter array (CFA), the research community has shown much interest in adapting the idea of CFA to the multispectral domain, producing multispectral filter arrays (MSFAs). In addition to newly devised methods of MSFA demosaicking, there exists a wide spectrum of methods developed for CFA. Among others, some vector based operations can be adapted naturally for multispectral purposes. In this paper, we focused on studying two vector based median filtering methods in the context of MSFA demosaicking. One solves demosaicking problems by means of vector median filters, and the other applies median filtering to the demosaicked image in spherical space as a subsequent refinement process to reduce artefacts introduced by demosaicking. To evaluate the performance of these measures, a tool kit was constructed with the capability of mosaicking, demosaicking and quality assessment. The experimental results demonstrated that the vector median filtering performed less well for natural images except black and white images, however the refinement step reduced the reproduction error numerically in most cases. This proved the feasibility of extending CFA demosaicking into MSFA domain.

Citation Download Citation

Xingbo Wang, Jean-Baptiste Thomas, Jon Yngve Hardeberg, and Pierre Gouton "Median filtering in multispectral filter array demosaicking", Proc. SPIE 8660, Digital Photography IX, 86600E (4 February 2013); https://doi.org/10.1117/12.2005256

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