2022 Fiscal Year Final Research Report
Development of next-generation encoder by sparse modeling using frequency domain analysis of super resolution image reconstruction.
| Project/Area Number |
20K21830
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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) |
2020-07-30 – 2023-03-31
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| Keywords | 信号処理 |
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| Outline of Final Research Achievements |
Non-harmonic analysis (NHA) is a method of analyzing measurement signals that is 100,000 to 10 billion times more accurate than conventional methods, and can detect even slight changes that were previously undetectable. We have studied the application of 2D-NHA to image denoising, because we believe that frequency analysis of images using 2D-NHA can provide a detailed image representation with a small number of spectral.
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| Free Research Field |
信号処理
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| Academic Significance and Societal Importance of the Research Achievements |
NHAによる高精度信号解析をBM3Dに利用することで，類似パッチの収集精度を改善し，ノイズ除去性能の向上が見込めると考え，NHA位相差補正を用いたパッチ予測によるBM3D改良手法を提案した．従来のBM3Dによる類似パッチ探索アルゴリズムだけではパッチの収集精度に限界があるため，注目パッチと位相の異なるパッチを補正し，誤差の少ない類似パッチを再構成することで，さらなるノイズ除去性能の向上を目指した．
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