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研究生:林長蔚
研究生(外文):Chang-Wei Lin
論文名稱:適應性3-D離散餘弦轉換之醫學影像編碼器設計
論文名稱(外文):An Adaptive 3-D Discrete Cosine Transform Coder for Medical Image Compression
指導教授:戴顯權戴顯權引用關係
指導教授(外文):Shen-Chuan Tai
學位類別:碩士
校院名稱:國立成功大學
系所名稱:電機工程學系
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:1999
畢業學年度:87
語文別:英文
論文頁數:47
中文關鍵詞:3-D離散餘弦轉換
外文關鍵詞:3-D DCT
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3-D 離散餘弦轉換之醫學影像編碼器設計
林長蔚* 戴顯權**
國立成功大學電機工程研究所
摘要
由於網路與儲存媒體的限制,醫學影像上的壓縮已成為不可或缺的。然而影像在高壓縮比時所造成之失真是在醫學影像上所必須避免。一般在轉換編碼(Transform Coding)上,2-D型態的資料會比1-D型態的資料更具有將能量壓縮集中的特性。 基於這個觀念,我們提出了一個將2-D影像模擬為3-D的技術。我們亦提出了一個以各個區域區塊不同能量為基底而分類的方法。而這些經過切割後之子區塊亦將分別被集合成不同大小之3-D 區塊。再以3-D之離散餘弦公式分別對這些不同的區塊作處理。因一般傳統之轉換編碼大都是以區塊為單位來壓縮,所以很容易造成所謂的方塊效應 (blocking effect),而降低影像的品質。而所提出的方法是以經過分類後所得之一整個3-D 區塊作處理,因此不會有方塊效應的問題,並且可以提高壓縮的比率。
我們將所提出之3-D DCT編碼器以一些不同醫學影像測試,而可得高品質且高壓縮比之解碼影像。我們亦與JPEG系統以及其他於醫學影像壓縮相關的技術作比較,證明無論是影像品質或壓縮倍率上, 所提出之方法皆有較佳的表現。
*作者 **指導教授

An Adaptive 3-D Discrete Cosine Transform Coder for Medical Image Compression
Chang-Wei Lin*, Shen-Chuan Tai**
Department of Electrical Engineering
National Cheng Kung University, Tainan, Taiwan, R.O.C.
Abstract
Due to the bandwidth and storage limitations, medical images must be compressed before transmission and storage. However, the compression will reduce the image fidelity, especially when the images are compressed at lower bit rates and block-coded techniques are used, the reconstructed image will generate blocking artifacts and the image quality will be severely degraded.
2-D compression techniques achieve better energy compactness than 1-D types in terms of transform coding. Our method is not only based on that assumption but is also extended to 3-D for better compression efficiency in terms of energy compactness. A segmentation technique based on the local energy magnitude was developed as a criterion to segment sub-blocks of the image into different energy levels. Then, those sub-blocks were gathered with the same energy level to a 3-D cuboid. Finally, 3-D Discrete Cosine Transform (DCT) was employed to compress the 3-D cuboid individually. Conventional transform coding techniques compress images in a block by block manner, therefore, blocking artifact occurred. Our strategy, however, takes the inter-block correlation into account by using the segmentation results. This could reduce the blocking effect and raise the compression ratio by its excellent energy compactness in 3-D transformation.
We tested our 3-D DCT image coder on different medical images. Test images include X-ray, sonogram and angiogram images. The sizes of them are all 512’512 with 8 bits per pixel monochrome images. The reconstructed images of those test data achieve the bit rate lower than 0.25 bits per pixel (bpp) whose compression ratios are higher than 35. In addition, we used the most widely used compression tool of JPEG and other published technique to compress the same test images. The qualities of decoded images by JPEG and the other strategy demonstrated the high performance of our proposed method in terms of compression ratio and image quality.
*The Author **The Advisor

CONTENTS
LIST OF TABLES i
LIST OF FIGURES ii
CHAPTER 1 INTRODUCTION 1
1.1The Need for Data Compression 1
1.2Digital images and image compression 1
1.3Performance of the Compression Method 2
1.4 Data Compression for Medical Image 3
1.5The Organization of the Following Chapters 6
CHAPTER 2TRANSFORM CODING 7
2.1Brief discussion of DCT 7
CHAPTER 3 ADAPTIVE 3-D DCT CODER 11
3.1Classification 11
3.2Segmentation 15
3.33-D Compression 18
3.4Computational Complexity 21
CHAPTER 4 SIMULATION RESULTS 26
CHAPTER 5 CONCLUSION 34
REFERENCES 36
APPENDIX 39
PUBLICATION LIST 46
BIOGRAPHY 47

Reference
[1] Y. L. Chan and W. C. S, "Variable Temporal-Length 3-D Discrete Cosine Transform Coding," IEEE Trans. Image Processing, vol. 6, NO. 5, pp.758 -763, May, 1997
[2] A. Ramaswamy and W. B. Mikhael," A Mixed Transform Approach for Efficient Compression of Medical Images," IEEE Trans. Medical Imaging, vol. 12, NO. 4, pp.803-811, 1996
[3] H. Lee, Y. Kim, A. H. Rowberg, and E. A. Riskin, "Statistical Distributions of DCT Coefficients and Their Applications to an Interframe Compression Algorithm for 3-D Medical Images," IEEE Trans. Med. Imag., vol. 12, pp. 478-485, Sep. 1993
[4] W. H. Chen and C. H. Smith, "Adaptive Coding of Monochrome and Color Images," IEEE Trans. Commun. COM-25, pp.1285-1292, 1977
[5] B. Chitprasert and K. R. Rao, "Discrete Cosine Transform Filtering, Signal Process., vol. 19, pp. 233-245, 1990.
[6] K. R. Rao, "Theory and the Applications of the Discrete Cosine Transform," Jordan Intl. Electrical and Electronic Eng. Conf., pp. 259-264, Amman, Jordan, Apr.-May 1985.
[7] K. R. Rao and J. J. Hwang, Techniques and Standards for Image, Video, and Audio Coding, Prentice Hall PTR, New Jersey, USA, 1996
[8] Y. G. Wu and S. C. Tai, "Medical Image Compression Using 2’2 Discrete Cosine Transform," Optical Engineering, Vol. 37, NO. 5, pp. 1539-1546, May 1998
[9] R. C. Gonzalez and R. E. Woods, Digital Image Processing, Addison-Wesley, Reading, MA, 1992
[10] S. Wong, L. Zaremba, D. Gooden, and H. K. Huang, " Radiologic Image Compression - a review," Proc. IEEE VOL. 83 NO.2, pp. 194-219, 1995
[11] M. Nelson and J. L. Gailly, The Data Compression Book, 2nd ed. New York: M & T Books, 1996
[12] A. K. Jain, "Image Data Compression: A review," in Proc. IEEE, vol. 69, pp. 349-389, 1981
[13] T. Kao, S. H. Shieh, and L. C. Wu, "Dynamic Radionuclide Image Compression Based on Principal Components Analysis," 1995 IEEE Eng. Med. Biol., pp. 1227-1228
[14] D. Ho, D. Feng and K. Chen, "Dynamic Image Data Compression in Spatial and Temporal Domains: Theory and Algorithm," IEEE Trans. Info. Tech. In Biomedicine, Vol. 1, NO. 4 pp. 219-228, Dec. 1997
[15] B.chitprast and K. R. Rao, "Human Visual Weighted Progressive Image Transmisssion", IEEE Transactions on Comunications, Vol.38, 1990.
[16] D.LeGall, "MPEG: A Video Compression Standard for multimedia applications", Communication of the ACM, Vol.34, No.4, April 1991, pp.45-68.
[17] R.Westwater and B. Furht. "The XYZ Algorithm for Real-Time Compression: Technique and Algorithm", Kluwer Academic Publishers, Norwell. MA, 1996.
[18] K.R.Rao and R.Yip, Discrete Cosine Transform Algorithm, Adavantage and Application. New York: Academic, 1990.
[19] G.Karsson and M Vetterli, "three dimensional subband coding of video", Proc.IEEE Int.Conf.Acoustics, Speech, and Signal Processing, 1988,pp.1100.
[20] W.B Pennebaker and J.L. Mitchell, "JPEG Still Image Data compression Standard", Van Nostrand Reinhold, 1993.
[21] W.H Chen, C.H. Smith, "Adaptive Cdoing of Monochrome and Color Images". IEEE Trans.Commu. vol. COM-25, Sep. 1977.
[22] W.G.Chen and S.C.Tai, "Medical Image Compression by Adaptive DCT with Classification". Chinese Jounal of Medical and Biological Engineering 1992.
[23] A. Madisetti and A. N. Willson Jr. "A 100 MHz 2-D 8x8 DCT/IDCT processor for HDTV applications," IEEE Trans. CSVT, vol.5, pp.158-165, Apr.1995.
[24] Jack Bryant, "A Fast Classifier for Image data". Pattern Recognition vol.22, No.1 1989.
[25] Xiaonony Ran and Nariman Farvardin, "Adaptive DCT Image Coding Based on a Three component Image Model". Proc of ICASSP 1992.
[26] J.L.H. Webb, "Postprocessing to reduce blocking artifacts for low bit rate video coding using chrominance information," in Proc.ICIP, 1996, vol.II, pp.9-12.
[27] C.A.Gonzales et al.,"DCT coding for motion video storage using adaptive arithmetic coding," Signal Process.: Image Commun., vol.2, pp.155-169, Aug. 1990.
[28] Y.G.Wu and S.C. Tai, "Finite State DCT with Global Bitmap Medical Image Coding" Proc of the Annual Symposium of the Biomedical Engineering Society R.O.C.pp.26-27, Dec. 1993.
[29] K.R.Rao, J.J.Hwang, "Technique and standards for image, video and audio coding".1996.
[30] American College of Radiology (ACR) / National Electrical Manufacturers Association Standards Publication for Data Compression Standards, NEMA Publication PS-2, Washington, DC, 1989.
[31] Digital imaging and communication in medicine (DICOM), version 3, American College of Radiology (ACR) / National Electrical Manufacturers Association (NEMA) Standards Draft, Dec. 1992.
[32] Dong Sik Kim and Sang Uk Lee, "Image Vector Quantizer Based on a Classification in the DCT Domain", IEEE Transaction on Communication, Vol.39,No.4, April, 1991.

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