A New Structural Non-liner Image Decomposition Type Image processing and its Quality Control for High-Quality and High-Performance Imaging.
| Project/Area Number |
21500182
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Kanagawa University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
KOMATSU Komatsu 神奈川大学, 工学部, 助手 (80241115)
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2011: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2010: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2009: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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| Keywords | 画像情報処理 / 高機能イメージング / 雑音除去 / 画像処理パイプライン / カラーシリンケージ / 画像復元 / 非線形画像分解 / イメージング / ディジタルカメラ |
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| Research Abstract |
Color data observed with a digital color camera undergo spatial degradations caused by an optical low-pass filter(anti-alias filter), point degradations due to signal-dependent shot noise in its photoelectric conversion, color-mosaicking with the Bayer's primary color filter array, and so on. The restoration of lost information from the observed noisy blurry color data will make it possible to produce a high-quality color image, and thus the image restoration is a key problem in image-processing of a digital color camera. This research deals with how to restore a high-quality color image from the incompletely observed image data. We devised various image processing techniques, and evaluated its performance by computer simulations.
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Report
(4 results)
Research Products
(30 results)
