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研究生:莊婉瑜
研究生(外文):Wan-YuJhuang
論文名稱:細節與對比強化之高動態範圍影像顯示方法
論文名稱(外文):High Dynamic Range Image Display with Detail and Contrast Enhancement
指導教授:陳培殷陳培殷引用關係
指導教授(外文):Pei-Yin Chen
學位類別:碩士
校院名稱:國立成功大學
系所名稱:資訊工程學系碩博士班
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:英文
論文頁數:47
中文關鍵詞:高動態範圍色調映射Retinex理論
外文關鍵詞:High Dynamic RangeTone MappingRetinex Theory
相關次數:
  • 被引用被引用:1
  • 點閱點閱:179
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  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:2
目前高動態範圍的影像拍攝技術已臻成熟,利用高動態範圍感測器或一般數位相機,再配合多重曝光度的拍攝方法,即可捕捉到近似人眼所觀察到的亮度範圍。但將高動態範圍影像顯示於一般顯示器上,會因為顯示器的動態範圍遠低於高動態範圍影像而產生顯示上的問題,例如影像過曝或過暗等等。為了適當地顯示高動態範圍影像於一般顯示螢幕上,影像必須先經過將高動態範圍轉換到低動態範圍的色調映射處理過程。本論文提出一個基於Retinex理論的色調映射方法,利用亮度(luminance)與照度(illumination)平面進行影像平滑化處理。在映射公式上,我們改善Drago等人所提出的方法(adaptive logarithmic mapping)並結合伽瑪校正(gamma correction)演算法來達到較好的效果。與過去的方法比較,本論文的方法能產生細節更清楚、對比度更高的影像。
Showing high dynamic range images on general displayers whose dynamic ranges are relatively low will result in images with undesirable artifacts like underexposure or overexposure. To display images without unwanted artifacts, tone mapping is adopted before showing the images. Tone mapping is the process of mapping a high dynamic range to a low dynamic range. A Retinex-based tone mapping method is proposed in this thesis. In the smoothing process, both luminance and illumination are used to calculate the weight for smooth filter. In the mapping process, we adopt an efficient gamma correction module and the adaptive logarithmic mapping function based on the concepts proposed by Drago [4]. Compared with those previous methods, the proposed method produces images with higher contrast and richer details.
摘要 I
Abstract II
Acknowledgement III
Contents IV
List of Tables V
List of Figures VI
Chapter 1 Introduction 1
Chapter 2 Background 3
2.1. RGBE Image File Format 3
2.2. Transformation between Chrominance and Luminance 5
Chapter 3 Previous Methods 7
3.1. Tone Mapping 7
3.2. Retinex-Based Tone Mapping 9
3.3. Constraint Edge-Preserving Low-Pass Filter 15
3.4. Adaptive Logarithmic Mapping 18
Chapter 4 Proposed Method 21
Chapter 5 Results 31
Chapter 6 Conclusions 44
References 45
[1] Chen, H.T., Liu, T.L., Chang, J.J., Tone Reproduction: A Perspective from Luminance-Driven Perceptual Grouping IEEE Transactions on Computer Vision and Pattern Recognition, Vol. 2, pp. 369-376, June 2005.

[2] Debevec, P. E., and Malik, J., “Recovering high dynamic range radiance maps from photographs, SIGGRAPH 97 Conference Proceedings, AddisonWesley, T. Whitted, Ed., Annual Conference Series, ACM SIGGRAPH, 369–378, 1997.

[3] Durand, F. and Dorsey, J., “Fast bilateral filtering for the display of HDR images, ACM Trans. Graphics, vol. 21, no. 3, pp. 257-266, July 2002.

[4] Drago, F., Myszkowski, K., Annen, T., and Chiba, N., “Adaptive Logarithmic Mapping for Displaying High Contrast Scenes, Computer Graphics Forum, vol. 22, no. 3, 2003.

[5] Ferradans, S., Bertalmio, M., Provenzi, E., Caselles, V., An Analysis of Visual Adaptation and Contrast Perception for Tone Mapping, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 33, no. 10, pp. 2002-2012, Oct. 2011.

[6] Guarnieri, G., Marsi, S., Ramponi, G., High dynamic range image display with halo and clipping prevention, IEEE Trans. Image Process., vol. 20, no. 5, pp. 1351-1362, May. 2011.

[7] Kimmel, R., Elad, M., Shaked, D., Keshet, R., and Sobel, I., A variational framework for Retinex, Int. J. Comput. Vis., vol. 52, no. 1, pp. 7-23, Jan. 2003.

[8] Kimmel, R., Shaked, D., Elad, M., and Sobel, I., “Space-dependent color gamut mapping: A variational approach, IEEE Trans. Image Process., vol. 14, no. 6, pp. 796–803, Jun. 2005.

[9] Land, E. H. and McCann, J. J., Lightness and Retinex theory, J. Opt. Soc. Amer., vol. 61, no. 1, pp.1 -11, 1971.

[10] Lee, J. W., Park, R. H., and Chang, S., “Local tone mapping using K-means algorithm and automatic gamma setting, IEEE Trans. Consumer Electronics, vol. 57, no. 1, pp. 209-217, Feb. 2011.

[11] Meylan, L., and Ssstrunk, S., High dynamic range image rendering using a Retinex-based adaptive filter, IEEE Trans. Image Process., vol. 15, pp. 2820-2830, 2006.

[12] Roberts, L., Machine Perception of 3-D Solids. Cambridge, MA:MIT Press, 1965.

[13] Reinhard, E., Stark, M., Shirley, P., and Ferwerda, J., “Photographic tone reproduction for digital images, ACM Trans. Graphics, vol. 21, no. 3, pp. 267−276, July 2002.

[14] Robertson, M. A., Borman, S., and Stevenson, R. L., “Estimation-theoretic approach to dynamic range enhancement using multiple exposures, J. Electron. Imag., vol. 12, no. 2, pp. 219–228, Apr. 2003.

[15] Stockham, T.G., “Image Processing in the Context of a Visual Model, Proceedings of the IEEE, vol. 60, no. 7, pp. 828-842, Jul. 1972.

[16] Tomasi, C. and Manduchi, R., “Bilateral filtering for gray and color images, in Proc. IEEE Int. Conf. Comput. Vis., pp. 839–846, Bombay, India, Jan. 1998.

[17] Tumblin, J. and Turk, G., “Low curvature image simplifiers (LCIS): A boundary hierarchy for detail-preserving contrast reduction, in Proc. ACM SIGGRAPH2000, pp. 83–90, New Orleans, LA, July 2000.

[18] Ward, G., “Real pixels, Graphics Gems II, pp. 80–83, 1991.

[19] http://people.csail.mit.edu/sparis/bf_course/

[20] http://www.hdrsoft.com/download/pml_win.html

[21] http://persci.mit.edu/gallery/checkershadow

[22] http://www.cs.utah.edu/~reinhard/cdrom/

[23] http://people.csail.mit.edu/fredo/PUBLI/Siggraph2002/index.html

[24] http://www2.units.it/ipl/research/details/retinex/
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