An Acquisition Method for Visible and Near Infrared Images from Single CMYG Color Filter Array-Based Sensor
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/19/5578 |
| _version_ | 1797552259673882624 |
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| author | Younghyeon Park Byeungwoo Jeon |
| author_facet | Younghyeon Park Byeungwoo Jeon |
| author_sort | Younghyeon Park |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T15:57:29Z |
| format | Article |
| id | doaj.art-0a21f16328ba4a57800a85b52a200e18 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T15:57:29Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-0a21f16328ba4a57800a85b52a200e182023-11-20T15:29:48ZengMDPI AGSensors1424-82202020-09-012019557810.3390/s20195578An Acquisition Method for Visible and Near Infrared Images from Single CMYG Color Filter Array-Based SensorYounghyeon Park0Byeungwoo Jeon1Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, KoreaDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, KoreaNear-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.https://www.mdpi.com/1424-8220/20/19/5578camerasimage processinginfrared imagingnear infraredphotography |
| spellingShingle | Younghyeon Park Byeungwoo Jeon An Acquisition Method for Visible and Near Infrared Images from Single CMYG Color Filter Array-Based Sensor Sensors cameras image processing infrared imaging near infrared photography |
| title | An Acquisition Method for Visible and Near Infrared Images from Single CMYG Color Filter Array-Based Sensor |
| title_full | An Acquisition Method for Visible and Near Infrared Images from Single CMYG Color Filter Array-Based Sensor |
| title_fullStr | An Acquisition Method for Visible and Near Infrared Images from Single CMYG Color Filter Array-Based Sensor |
| title_full_unstemmed | An Acquisition Method for Visible and Near Infrared Images from Single CMYG Color Filter Array-Based Sensor |
| title_short | An Acquisition Method for Visible and Near Infrared Images from Single CMYG Color Filter Array-Based Sensor |
| title_sort | acquisition method for visible and near infrared images from single cmyg color filter array based sensor |
| topic | cameras image processing infrared imaging near infrared photography |
| url | https://www.mdpi.com/1424-8220/20/19/5578 |
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