Recently, a CFA sensor including a W channel has been developed. Since the W channel receives brightness information, it has a broad spectrum band compared to primary colors (Red, Green, Blue) and exhibits a high SNR. A camera using the CFA sensor obtains only certain type of color information for each pixel, so a color interpolation method is used to restore the full resolution image. In this paper, we propose a new color interpolation method for Sony-RGBW CFA. The proposed method is edge-adaptive and preferentially restores the W channel with a high sampling rate. In the next step, the R, G, and B channels are restored in the color difference domain using the W channel with the full resolution. Experimental results showed that the reconstructed image obtained by applying the proposed algorithm to the Sony-RGBW is superior to the image restored by conventional method in terms of SNR and visual confirmation.
|Journal||IS and T International Symposium on Electronic Imaging Science and Technology|
|Publication status||Published - 2018|
|Event||16th Image Processing: Algorithms and Systems Symposium 2018 - Burlingame, United States|
Duration: 2018 Jan 28 → 2018 Feb 1
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)
© 2018 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