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SuperResolution Image Processing Lab.

Authors Seunghoon Jee, Ki Sun Song, and Moon Gi Kang 
Title Sensitivity and resolution improvement in RGBW color filter array sensor 
Journal Sensors 
volume / edition / pages vol. 18, no. 5, pp. 1647 
Date May 2018 
Year 2018 
Link http://www.mdpi.com/1424-8220/18/5/1647 
Abstract

Recently, several red-green-blue-white (RGBW) color filter arrays (CFAs), which include highly sensitive W pixels, have been proposed. However, RGBW CFA patterns suffer from spatial resolution degradation owing to the sensor composition having more color components than the Bayer CFA pattern. RGBW CFA demosaicing methods reconstruct resolution using the correlation between white (W) pixels and pixels of other colors, which does not improve the red-green-blue (RGB) channel sensitivity to the W channel level. In this paper, we thus propose a demosaiced image post-processing method to improve the RGBW CFA sensitivity and resolution. The proposed method decomposes texture components containing image noise and resolution information. The RGB channel sensitivity and resolution are improved through updating the W channel texture component with those of RGB channels. For this process, a cross multilateral filter (CMF) is proposed. It decomposes the smoothness component from the texture component using color difference information and distinguishes color components through that information. Moreover, it decomposes texture components, luminance noise, color noise, and color aliasing artifacts from the demosaiced images. Finally, by updating the texture of the RGB channels with the W channel texture components, the proposed algorithm improves the sensitivity and resolution. Results show that the proposed method is effective, while maintaining W pixel resolution characteristics and improving sensitivity from the signal-to-noise ratio value by approximately 4.5 dB.

   List (5)
[ 2018 ]
· Ji Yong Kwon and Moon Gi Kang
Restoration for Out-of-Focus Color Image Based on Gradient Profile Sharpness
Circuits Syst. Signal Process., vol. 37, no. 1, pp. 178-202, Jan. 2018.
· Jaeduk Han, Ki Sun Song, Jonghyun Kim, and Moon Gi Kang
Permuted coordinate-wise optimizations applied to Lp-regularized image deconvolution
IEEE Trans. Image process., vol. 27, no. 7, pp. 3556-3570, Jul. 2018.
· Sangyoon Lee, Min Seok Lee, and Moon Gi Kang
Poisson-Gaussian Noise Analysis and Estimation for Low-dose X-ray Images in the NSCT Domain
Sensors, vol. 18, no. 4, pp.1019, Apr. 2018.
· Minsub Kim, Ki Sun Song, and Moon Gi Kang
No-reference contrast measurement for color images based on visual stimulus
IEEE Access, vol. 6, pp. 23678-23687, Apr. 2018.
» Seunghoon Jee, Ki Sun Song, and Moon Gi Kang
Sensitivity and resolution improvement in RGBW color filter array sensor
Sensors, vol. 18, no. 5, pp. 1647, May 2018.