21 December 2000 Fuzzy-assignment-based color interpolation algorithm
Author Affiliations +
Abstract
In an electronic color imaging device such as a digital camera using a single CCD or CMOS sensor, the color information is usually acquired in sub-sampled patterns of red (R), green (G) and blue (B) pixels. Full resolution color is subsequently generated from this sub-sampled image. This is popularly called Color Interpolation or Color Demosaicing. In this paper, we present a color interpolation algorithm using the method of fuzzy membership assignment along with the concept of smooth hue transition. The algorithm is adaptive in nature and produces superior quality full resolution color images compared to most of the popularly known color interpolation algorithms in the literature. Performance of the algorithm has been compared with a previously proposed block matching algorithm for color interpolation by the authors as well as the popularly used bilinear color interpolation. We present the results of comparison with some challenging sub-sampled images for color interpolation.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ping-sing Tsai, Tinku Acharya, "Fuzzy-assignment-based color interpolation algorithm", Proc. SPIE 4300, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts VI, (21 December 2000); doi: 10.1117/12.410796; https://doi.org/10.1117/12.410796
PROCEEDINGS
8 PAGES


SHARE
RELATED CONTENT

Research of digital image characteristics using computer
Proceedings of SPIE (February 08 2005)
Study on sub-pixel measurement accuracy of CMOS imager
Proceedings of SPIE (February 14 2005)
Evaluating digital cameras
Proceedings of SPIE (February 10 2006)

Back to Top