scholarly journals Plasmonic Color Filter Array with High Color Purity for CMOS Image Sensors

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1750 ◽  
Author(s):  
Atsutaka Miyamichi ◽  
Atsushi Ono ◽  
Keiichiro Kagawa ◽  
Keita Yasutomi ◽  
Shoji Kawahito
Keyword(s):  
Near Infrared ◽  
Image Sensors ◽  
Color Filter ◽  
Angle Of Incidence ◽  
Color Purity ◽  
Color Filter Array ◽  
Simultaneous Imaging ◽  
Cmos Image Sensors ◽  
Filter Array ◽  
Color Selectivity

We demonstrate the multiband color filtering of a standard RGB color and a complementary CMY color by a plasmonic color filter, composed of concentric corrugated metallic thin film rings. The surface plasmon resonance is excited by the periodic corrugation, and the coupled light is transmitted through the central subwavelength aperture. Color selectivity is achieved not only in the visible but also in the near-infrared (NIR) region. Therefore, simultaneous imaging with visible and NIR can be realized by the integration of plasmonic color filters with sensors. We investigate the angle of incidence dependence of the transmission color selectivity and the color purity of the fabricated plasmonic color filter array.

A novel Bayer-like WRGB color filter array for CMOS image sensors

2007 ◽  
Author(s):  
Hiroto Honda ◽  
Yoshinori Iida ◽  
Go Itoh ◽  
Yoshitaka Egawa ◽  
Hiromichi Seki
Keyword(s):  
Image Sensors ◽  
Color Filter ◽  
Color Filter Array ◽  
Cmos Image Sensors ◽  
Filter Array

scholarly journals Digital zooming for color filter array-based image sensors

2005 ◽  
Vol 11 (2) ◽  
pp. 129-138 ◽  
Author(s):  
Rastislav Lukac ◽  
Konstantinos N. Plataniotis
Keyword(s):  
Image Sensors ◽  
Color Filter ◽  
Color Filter Array ◽  
Filter Array ◽  
Digital Zooming

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.

Adaptive Pixel Crosstalk Compensation for CMOS Image Sensor

2014 ◽  
Vol 981 ◽  
pp. 310-314
Author(s):  
Chang Rui Zhao ◽  
Xiao Ming Chi ◽  
Zhen Yu Wang ◽  
Wei Yan ◽  
Dong Li
Keyword(s):  
High Frequency ◽  
Image Sensor ◽  
Adaptive Threshold ◽  
Image Sensors ◽  
Color Filter ◽  
Real Image ◽  
Cmos Image Sensors ◽  
Filter Array ◽  
Visual Characteristics ◽  
Human Visual Characteristics

A new algorithm for removing pixel crosstalk in CMOS image sensors with Bayer color filter array was proposed. The algorithm can estimate low/high frequency image and provide adaptive threshold based on the human visual characteristics. By simulation experimentation on Macbeth color checker, resolution checker and real image, the experimental results revealed that this algorithm can remove the pixel crosstalk effectively.

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