| Project/Area Number |
20500173
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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 | Kinki University |
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Principal Investigator |
SHIMANO Noriyuki Kinki University, 理工学部, 教授 (10257975)
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| Co-Investigator(Renkei-kenkyūsha) |
HIRONAGA Mikiya 近畿大学, 理工学部, 助教 (20257976)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2010: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2009: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2008: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
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| Keywords | マルチチャンネルカメラ / 分光反射率 / 逆問題 / ノイズ / カラー画像再現 / ウィーナ推定 / 分光反射率の復元 / ディスプレイの測色的較正 / カメラの品質 |
|---|
| Research Abstract |
Recovery of spectral reflectances of objects being imaged through the use of image data is important to reproduce color images under various illuminations. Although the Wiener estimation is usually used for the recovery, but the recovery performance of this estimation depends on the autocorrelation matrix of the spectral reflectances and the noise present in an image acquisition system. The goal of the present study is to show that the Wiener estimation that uses the noise variance estimated by the previous proposal and the autocorrelation matrix that uses the features of the spectral reflectances recovered by the previous method is very effective to greatly improve the performance.
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