Compressive color sensing using random complementary color filter array
| Autor: | Takeo Azuma, Satoshi Sato, Wakai Nobuhiko, Makoto Nakashizuka, Takamichi Miyata, Kunio Nobori |
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| Rok vydání: | 2017 |
| Předmět: |
Physics
Demosaicing Color image business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Color balance 020206 networking & telecommunications 02 engineering and technology Color space Color depth 0202 electrical engineering electronic engineering information engineering RGB color model 020201 artificial intelligence & image processing Computer vision Color filter array Artificial intelligence business Magenta ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | MVA |
| Popis: | We propose a new color imaging system based on a compressive sensing technique. Our system consists of a random complementary color filter array (CFA) for random projection and a color reconstruction method for demosaicing. Our CFA overlaps two complementary color filters and consists of six color filters: cyan (C), yellow (Y), magenta (M), C+Y, C+M, and Y+M. By arranging these six color filters randomly, our imaging system achieves pseudo random projection among red (R) /green (G) / blue (B) colors, which is the key technology of compressive sensing. Because this CFA can retain more color information than RGB CFA, the proposed color reconstruction method reduces artifacts at monochromatic edges and in high-frequency regions, and obtains better image quality. As an additional contribution, we introduce saturation consistency to suppress color artifacts in saturated areas, then achieve to 3.3 dB higher quality images than the conventional method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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