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研究生:沈彥男
研究生(外文):Yai-Nan Shen
論文名稱:使用邊緣保留技術模擬大型感光元件陣列
論文名稱(外文):Emulate Large Sensor Array of Handheld Digital Camera with Edge Preserved in Consistent Steps
指導教授:林宗男林宗男引用關係
指導教授(外文):Tsung-Nan Lin
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:電信工程學研究所
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:2005
畢業學年度:93
語文別:英文
論文頁數:68
中文關鍵詞:內插還原邊緣保留影像放大
外文關鍵詞:non-crossdemosaickzoominterpolation
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自從相機功能數位化後,相當常見的應用即為與其它手持設備的整合。例如現行的中高階手機、PDA上均備有相機模組。然而,在這些手持設備上的相機相較於純消費型數位相機而言,往往畫質差上好幾個等級。其中的主要原因為體積限制進而造成內部感光元件面積亦受限。
當感光元件面積窄小時,若強制實行高畫素分割,則每一像素的能使用之感光元件面積會相對窄小,因此造成鄰近像素感光元件漏電流的干擾。而且可用感光面積相對縮減,會造成可用之訊雜比減小。所以我們必須另行設計一方式以達到模擬大型感光元件的方法
在本篇論文中,我們應用了不同通道間的色彩差值關係以實行內插放大感光元件陣列。並以本實驗室發展出之非跨越性方向性權重計算法以實施於非連續感光元件陣列之內插,亦應用以偵測邊緣之技術以達良好的影像邊緣保持效果。
Abstract
The digital cameras can be easily integrated with other handheld devices in one single chip. For hardware size and cost consideration, the camera sensor array of the PDAs or the cell phones is therefore limited. However, as the demanding of better image quality is increasing, the producer needs to employ large sensor array for higher image resolutions [3]. Therefore, how to emulate large sensor array to raise resolutions is a key problem to these devices. In this paper, we introduce a novel cost-effective interpolation method to enlarge the sensor array for higher resolution. Unlike traditional enlargement methods which operate only within a color plane, our method utilizes the relation between the distinct channel color differences of neighbors and the non-cross weight-based approach. Experimental results indicate the proposed method has the ability to emulate efficiently larger sensor array from the relation of color difference over local region and edge-sensing weight coefficients. This algorithm gives sharp edges over the enlarged image without color-bleeding artifacts. The experimental results demonstrate the effectiveness of the proposed method.
Contents
Abstract -3-
Acknowledgements -4-
Chapter 1 Introduction 1
The Arising of the Appended Digital Cameras 1
The quality of the appended digital cameras 1
The Algorithm and Mechanism inside the Digital Camera 2
The Motivation 5
Chapter 2 Image Zooming Background 8
24-bit image zooming 8
Color Filter Array Zooming 9
A. Resolution Enhanced Image 9
B. Zooming Based on Color Filter Array 10
Chapter 3 Color Image Interpolation Model 13
The adaptive weighting calculation and color multiply term design 13
Directional based weighting calculation 14
The circular count weight 15
The directional enhanced weight 16
One example to illustrate 16
The circular weight 19
The directional enhanced method 21
The circular weight error 22
The directional enhanced method error 25
The multiplied term discussion 30
RGB domain and Color difference domain 31
Color ratio domain 32
A.Color Difference Model (Design of n) 33
B.Non-Cross Weight Calculation (Design of w) 34
Chapter 4 Color Filter Array Enlargement Method 37
A. Zooming Based on CFA 37
B. Demosaicking Algorithm 41
Zoom based on CFA with edge preservation 46
Chapter 5 Simulation 52
A. Enlargement test for the classical edges 52
B. Enlargement test for text images 55
C. Enlargement test for real photo edges 56
Chapter 6 Conclusion 66
Reference 67
REFERENCES
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[2]J. E. Adams. Design of color filter array interpolation algorithm for digital cameras, part 2. In IEEE Proc. Int. Conf. Image Processing, volume 1, pages 488–492, 1998.
[3]M. Mancuso, S. Battiato, “An introduction to the digital still camera technology”, ST Journal of System Research, Vol. 2, No. 2, pp. 1-9, December 2001.
[4]T. N. Lin, C. L. Hsu, “Directional Weighting-based Demosaicing Algorithm,” In PCM2004, volume 2, page 849-857, December 2004.
[5]R. Lukac, K. Martin, and K.N.Plataniotis, “Digital Camera Zooming Based on Unified CFA Image Processing Steps,” IEEE Transaction on Comsumer Electronics, volume 50, pages 15 - 24
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[7]Adams, James E. "Interactions between color plane interpolation and other image processing functions in electronic photography" Proceedings of SPIE Vol. 2416 P.144-151
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[9]Jiang Mingyan, Yuan Dongfeng, “Some methods of image enlarging with interpolation,” Signal Processing, International Conference on,. 26-30 Aug. 2002 Pages:680 - 683 vol.1
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[12]Xin Li and Michael T. Orchard, “New edge-directed interpolation.” IEEE Transactions on Image processing, Vol. 10, No. 10, October 2001. pages 1521-1527
[13]Cok,David R. "Signal processing method and apparatus for producing interpolated chrominance values in a sampled color image signal" U.S. Patent 4,642,678
[14]A. Bosco, M. Mancuso, "Adaptive Filtering For Image Denoising”, in IEEE Proceedings of ICCE2001, pp.208-209, June 2001.
[15]I.Pitas, and A.N.Venetsanopoulos, “Nonlinear Digital Filters-Principles and Applications”, pp.63-150, Kluwer Academic Publishers, Massachusetts, 1991
[16]Soo-Chang Pei and Io-Kuong Tam ,”Effective Color Interpolation in CCD Color Filter Array using Signal Correlation ” IEEE, 1999
[17]S. Battiato, A. Castorina, M. Mancuso, “High Dynamic Range Imaging for Digital Still Camera”, In Proceedings of SPIE Electronic Imaging 2002 - Sensors, Cameras, and Applications for Digital Photography IV - San Jose'' CA USA, January 2002
[18]J.Weldy, “Optimized design for a single-sensor color electronic camera system,” Proc. SPIE, vol. 1071, pp. 300–307, 1990
[19]J. Adams, “Interactions between color plane interpolation and otherimage processing functions in electronic photography,” Proc. SPIE,vol. 2416, pp. 144–151, 1995
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