Vector color filter array demosaicing

Maya R. Gupta; Ting Chen

doi:10.1117/12.426974

15 May 2001 Vector color filter array demosaicing

Maya R. Gupta, Ting Chen

Proceedings Volume 4306, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications II; (2001) https://doi.org/10.1117/12.426974
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

Single-sensor digital cameras spatially sample the incoming image using a color filter array (CFA). Consequently, each pixel only contains a single color value. In order to reconstruct the original full-color image, a demosaicing step must be performed which interpolates the missing colors at each pixel. Goals in CFA demosaicing include color fidelity, spatial resolution, no false colors, no jagged edges, and computational practicality. Most demosaicing algorithms do well for color fidelity, but there is often a trade-off between a sharp image and the so-called 'zipper effect' or jagged edge look. We propose a novel demosaicing algorithm called vector demosaicing that interpolates missing colors jointly by selecting the color vector that minimizes the sum of distances to the surrounding pixels. The selected color vector is a vector median of the surrounding pixels. The vector median forms an 'average', but preserves sharp edges. We will discuss the theory behind our approach and show experimentally how the theoretical advantages manifest themselves to improve edge resolution while retaining smoothness. Computational complexity is shown to be possible quite low, and we discuss how different approximations may affect the output.

Citation Download Citation

Maya R. Gupta and Ting Chen "Vector color filter array demosaicing", Proc. SPIE 4306, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications II, (15 May 2001); https://doi.org/10.1117/12.426974

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