Implementation of a multi-spectral color imaging device without color filter array

2011 ◽  
Author(s):  
G. Langfelder ◽  
A. F. Longoni ◽  
F. Zaraga
Keyword(s):  
Color Filter ◽  
Color Filter Array ◽  
Color Imaging ◽  
Imaging Device ◽  
Filter Array

scholarly journals An Acquisition Method for Visible and Near Infrared Images from Single CMYG Color Filter Array-Based Sensor

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5578
Author(s):  
Younghyeon Park ◽  
Byeungwoo Jeon
Keyword(s):  
Near Infrared ◽  
Imaging System ◽  
Color Filter ◽  
Visible Range ◽  
Signal Acquisition ◽  
Separation Performance ◽  
Color Filter Array ◽  
Imaging Device ◽  
Filter Array ◽  
Acquisition Method

Near-infrared (NIR) images are very useful in many image processing applications, including banknote recognition, vein detection, and surveillance, to name a few. To acquire the NIR image together with visible range signals, an imaging device should be able to simultaneously capture NIR and visible range images. An implementation of such a system having separate sensors for NIR and visible light has practical shortcomings due to its size and hardware cost. To overcome this, a single sensor-based acquisition method is investigated in this paper. The proposed imaging system is equipped with a conventional color filter array of cyan, magenta, yellow, and green, and achieves signal separation by applying a proposed separation matrix which is derived by mathematical modeling of the signal acquisition structure. The elements of the separation matrix are calculated through color space conversion and experimental data. Subsequently, an additional denoising process is implemented to enhance the quality of the separated images. Experimental results show that the proposed method successfully separates the acquired mixed image of visible and near-infrared signals into individual red, green, and blue (RGB) and NIR images. The separation performance of the proposed method is compared to that of related work in terms of the average peak-signal-to-noise-ratio (PSNR) and color distance. The proposed method attains average PSNR value of 37.04 and 33.29 dB, respectively for the separated RGB and NIR images, which is respectively 6.72 and 2.55 dB higher than the work used for comparison.

Performance Analysis on Yamanaka Patterned Color Filter Array

2013 ◽  
Vol 717 ◽  
pp. 497-500
Author(s):  
Gwang Gil Jeon
Keyword(s):  
Performance Analysis ◽  
Digital Camera ◽  
Color Filter ◽  
Color Information ◽  
Color Filter Array ◽  
Imaging Device ◽  
Full Resolution ◽  
Filter Array ◽  
Cmos Sensor ◽  
Simulation Results

Generally, a digital camera employs a single CCD or CMOS sensor. In a color imaging device, the color information is usually obtained in sub-sampled patterns of red, green and blue pixels. Thus, full-resolution color is afterward created from this sub-sampled CFA image. This process is normally called as demosaicking. In this paper, we analyze performance of Yamanaka patterned CFA in terms of CPSNR and S-CIELAB. We show the simulation results on test images.

Toward blind joint demosaicing and denoising of raw color filter array data

2021 ◽  
Author(s):  
Fangfang Wu ◽  
Tao Huang ◽  
Weisheng Dong ◽  
Guangming Shi ◽  
Zhonglong Zheng ◽  
...  
Keyword(s):  
Color Filter ◽  
Color Filter Array ◽  
Array Data ◽  
Filter Array

scholarly journals Adaptive Wiener filter super-resolution of color filter array images

2013 ◽  
Vol 21 (16) ◽  
pp. 18820 ◽  
Author(s):  
Barry K. Karch ◽  
Russell C. Hardie
Keyword(s):  
Wiener Filter ◽  
Super Resolution ◽  
Color Filter ◽  
Color Filter Array ◽  
Filter Array
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