Recently, RGB-White(RGBW) sensors have been developed to take advantages of high-sensitive white(W) channel. Especially in the low light condition, the W channel has better SNR (Signal to Noise Ratio) characteristics than other color channels. In this paper, a new color interpolation method for the RGBW sensor is proposed. To make the best use of the high-sensitive W channel, we use a random pattern RGBW Color Filter Array(CFA). The most of pixels in the CFA sample the W channel values, when a small number of pixels sample the R, G, and B channel values respectively. At the initial step, missing W channel values in positions of pixels which sample the R, G, and B channel are estimated by edge adaptive scheme. After that, the color difference channels, i.e., R-W, G-W, and B-W, are estimated by the scheme of colorization. Experimental results show that the proposed algorithm performs better than the results from Bayer CFA in terms of SNR and object discrimination.
|Number of pages||5|
|Journal||IS and T International Symposium on Electronic Imaging Science and Technology|
|Publication status||Published - 2017|
|Event||Image Processing: Algorithms and Systems XV, IPAS 2017 - Burlingame, United States|
Duration: 2017 Jan 29 → 2017 Feb 2
Bibliographical noteFunding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT and future Planning (No. 2015R1A2A1A14000912)
© 2017, Society for Imaging Science and Technology.
All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Human-Computer Interaction
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics