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      Improved 3D photon counting imaging using singular value decomposition (SVD)

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      https://www.riss.kr/link?id=A109511435

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      다국어 초록 (Multilingual Abstract)

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      In this paper, we propose improved three-dimensional (3D) photon counting imaging using singular value decomposition (SVD). In conventional 3D photon counting imaging can visualize 3D image under photon-starved conditions. However, the conventional method has problems that it may not visualize 3D image under extremely photon-starved conditions and the quality of visualized image may be degraded. To solve this problem, we apply SVD to image before applying the photon counting integral imaging in this paper. To verify feasibility of our method, we implement experiments and show the experimental results. In addition, for numerical comparison, the image quality assessment methods such as structural similarity index map (SSIM) and blind/referenceless image spatial quality evaluator (BRISQUE) are calculated.
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      In this paper, we propose improved three-dimensional (3D) photon counting imaging using singular value decomposition (SVD). In conventional 3D photon counting imaging can visualize 3D image under photon-starved conditions. However, the conventional me...

      In this paper, we propose improved three-dimensional (3D) photon counting imaging using singular value decomposition (SVD). In conventional 3D photon counting imaging can visualize 3D image under photon-starved conditions. However, the conventional method has problems that it may not visualize 3D image under extremely photon-starved conditions and the quality of visualized image may be degraded. To solve this problem, we apply SVD to image before applying the photon counting integral imaging in this paper. To verify feasibility of our method, we implement experiments and show the experimental results. In addition, for numerical comparison, the image quality assessment methods such as structural similarity index map (SSIM) and blind/referenceless image spatial quality evaluator (BRISQUE) are calculated.

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      목차 (Table of Contents)

      • Abstract
      • 1. INTRODUCTION
      • 2. BASIC CONCEPT OF CONVENTIONAL PHOTON COUNTING IMAGING
      • 3. PHOTON COUNTING INTEGRAL IMAGING BY USING SINGULAR VALUE DECOMPOSITION
      • 4. EXPERIMENTAL RESULTS
      • Abstract
      • 1. INTRODUCTION
      • 2. BASIC CONCEPT OF CONVENTIONAL PHOTON COUNTING IMAGING
      • 3. PHOTON COUNTING INTEGRAL IMAGING BY USING SINGULAR VALUE DECOMPOSITION
      • 4. EXPERIMENTAL RESULTS
      • 5. CONCLUSION
      • REFERENCES
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