Partition-based Interpolation for Color Filter Array Demosaicking and Super-Resolution Reconstruction

Author(s)

Min Shao, Philips Medical Systems
Kenneth E. Barner, University of Delaware
Russell C. Hardie, University of DaytonFollow

Document Type

Article

Publication Date

10-2005

Publication Source

Optical Engineering

Abstract

A class of partition-based interpolators that addresses a variety of image interpolation applications are proposed. The proposed interpolators first partition an image into a finite set of partitions that capture local image structures. Missing high resolution pixels are then obtained through linear operations on neighboring pixels that exploit the captured image structure. By exploiting the local image structure, the proposed algorithm produces excellent performance on both edge and uniform regions. The presented results demonstrate that partition-based interpolation yields results superior to traditional and advanced algorithms in the applications of color filter array (CFA) demosaicking and super-resolution reconstruction.

Inclusive pages

107003-1-107003-14

ISBN/ISSN

0091-3286

Document Version

Published Version

Comments

Permission documentation is on file.

Copyright

Copyright © 2005, Society of Photo-Optical Instrumentation Engineers (SPIE)

Publisher

Society of Photo-Optical Instrumentation Engineers (SPIE)

Volume

44

Peer Reviewed

yes

Issue

10

Keywords

partition-based interpolators, image interpolation, color filter array

eCommons Citation

Shao, Min; Barner, Kenneth E.; and Hardie, Russell C., "Partition-based Interpolation for Color Filter Array Demosaicking and Super-Resolution Reconstruction" (2005). Electrical and Computer Engineering Faculty Publications. 4.
https://ecommons.udayton.edu/ece_fac_pub/4