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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 傅楸善 | |
dc.contributor.author | Chin-Fong Chang | en |
dc.contributor.author | 張致豐 | zh_TW |
dc.date.accessioned | 2021-06-15T06:49:14Z | - |
dc.date.issued | 2011 | |
dc.date.submitted | 2011-03-21 | |
dc.identifier.citation | [1] H. T. Chen, “An Algorithm for Light Compensation,” Master Thesis, Department of Computer Science and Information Engineering, National Taiwan University, 2008.
[2] V. Chesnokov, “Dynamic Range Compression Preserving Local Image Contrast,” UK Patent GB 2 417381 A, 2006. [3] R. Fattal, D. Lischinski, and M. Werman, “Gradient Domain High Dynamic Range Compression,” ACM Transactions on Graphics, Vol. 21, No. 3, pp. 249- 256, 2002. [4] R. Fattal, M. Agrawala, and S. Rusinkiewicz, “Multiscale shape and detail enhancement from multi-light image collections,” ACM Transactions on Graphics, Vol. 26, No. 3, 2007. [5] D. Y. Hsiao and H. Y. M. Liao, “Smart Tone Reproduction,” Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, IMDSP-P11.F10, 2008. [6] G.W. Larson, H. Rushmeier, and C. Piatko, “A Visibility Matching Tone Reproduction Operator for High Dynamic Range Scenes,” IEEE Transactions on Visualization and Computer Graphics, Vol. 3, No. 4, pp. 291-306, 1997. [7] T. G. Stockham, “Image Processing in the Context of a Visual Model,” Proceedings of IEEE, Vol. 60, No. 7, pp. 828-842, 1972. [8] J. Tumblin and G. Turk, “Low Curvature Image Simplifiers (LCIS): A Boundary Hierarchy for Detail-Preserving Contrast Reduction,” Proceedings of SIGGRAPH Annual Conference, Los Angeles, California, pp. 83-90, 1999. [9] P. Whittle, “Increments and Decrements: Luminance Discrimination,” Vision Research, Vol. 26, pp. 1677–1692, 1986. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/48218 | - |
dc.description.abstract | 數位相機在現在已經取代傳統的軟片相機,其內建的功能也可以因各種環境與使用者需求而拍攝出更完美的照片。然而目前的數位相機在光源不足的情況下,可能會拍出背景曝光正常但是主體過暗,或是主體清晰但是背景過度曝光的問題。在許多應用上會希望主體能明亮清晰而且背景也不會過度曝光。本論文提出一個光源補償的方法來改善在不佳光源下的影像。 | zh_TW |
dc.description.abstract | Digital camera often produces undesired result when working under improper light condition. The details of dark regions are too obscure to be recognized, and it would not be a good picture that the photographers wish.
To solve the problem, we enhance the image with two phases. First we enhance the image by adjusting the brightness of the image; second we enhance the major details and the details in dark region to be more distinct. Our results show that we can light up the dark regions, and keep the bright regions from overexposure. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T06:49:14Z (GMT). No. of bitstreams: 1 ntu-100-R96922104-1.pdf: 3875667 bytes, checksum: fc74ea470eda2e307faabfdf0f352d03 (MD5) Previous issue date: 2011 | en |
dc.description.tableofcontents | Content iii
Chapter 1 Introduction 1 1.1 Contrast Enhancement 3 1.2 Human Visual System 4 1.2.1 Rods and Cones 4 1.2.2 Contrast Masking 4 1.3 Halo Artifact 4 1.4 Tone Reproduction 5 Chapter 2 Related Work 8 2.1 Logarithm Curve 8 2.3 Detail Decomposition 9 2.4 Smart Tone Reproduction 11 2.5 H. T. Chen’s Method 12 2.6 ORMIT 13 Chapter 3 Proposed Method 14 3.1 Light Enhancement 14 3.2 Detail Enhancement 14 Chapter 4 Experiment and image result 16 Chapter 5 Conclusion 29 | |
dc.language.iso | en | |
dc.title | 使用局部強化的光線補償 | zh_TW |
dc.title | Light Compensation with Detail Enhancement | en |
dc.type | Thesis | |
dc.date.schoolyear | 99-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 林長洲 | |
dc.subject.keyword | 光源補償,細節強化, | zh_TW |
dc.subject.keyword | Light Compensation,Detail enhancement, | en |
dc.relation.page | 31 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2011-03-22 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
顯示於系所單位: | 資訊工程學系 |
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ntu-100-1.pdf 目前未授權公開取用 | 3.78 MB | Adobe PDF |
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