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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2024.10
- 수록면
- 602 - 607 (6page)
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초록· 키워드
오류제보하기
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.
목차
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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