| Project/Area Number |
18K19838
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| Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
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| Allocation Type | Multi-year Fund |
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| Review Section |
Medium-sized Section 62:Applied informatics and related fields
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| Research Institution | University of Toyama |
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Principal Investigator |
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| Project Period (FY) |
2018-06-29 – 2021-03-31
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| Project Status |
Completed (Fiscal Year 2020)
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| Budget Amount *help |
¥6,370,000 (Direct Cost: ¥4,900,000、Indirect Cost: ¥1,470,000)
Fiscal Year 2019: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2018: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
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| Keywords | 信号処理 |
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| Outline of Final Research Achievements |
NHA (Non Harmonic Analysis) is one of the analysis methods for measured signals, and has an accuracy of 100,000 to 10 billion times or more that of conventional frequency analysis methods. It has the characteristics that it can detect slight changes that cannot be detected by the conventional method and is not affected by windows. The BM3D method, which has been used as a noise removal technology in the past, uses a frequency analysis method called FFT. However, FFT is characterized by low calculation cost but low resolution compared to NHA. Therefore, there is a limit to the accuracy of similar patches that can be obtained with BM3D, that is, the noise removal performance. For this problem, we aimed to improve the noise removal performance by incorporating NHA phase correction into this method.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究では従来の画像ノイズ除去手法にNHAを組み込むことでその性能を向上させることに成功した．画像ノイズ除去は医療分野など，多くの実用的な用途で欠かすことができず，今回の研究成果はそれらの分野で活用が考えられる．
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