Responsive image
博碩士論文 etd-0702101-153101 詳細資訊
Title page for etd-0702101-153101
論文名稱
Title
影像向量量化的區塊索引壓縮方法
Compression on the Block Indexes in Image Vector Quantization
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
50
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2001-06-01
繳交日期
Date of Submission
2001-07-02
關鍵字
Keywords
向量壓縮
vector quantization
統計
Statistics
本論文已被瀏覽 5725 次,被下載 21
The thesis/dissertation has been browsed 5725 times, has been downloaded 21 times.
中文摘要
將向量壓縮再壓縮
Abstract
The vector quantization (VQ) technique uses a codebook containing block
patterns with corresponding index on each of them. In this thesis, we simple TSP
(traveling salesperson) scheme in the VQ (vector quantization) index compression.
The goal of this method is to improve bit ratio scheme with the same image quality.
We apply the TSP (traveling salesperson) scheme to reorder the codewords in the
codebook such that the di erence between the indexes in neighboring blocks of the
image becomes small. Then, the block indexes in the image are remapped according
to the reordered codebook. Thus, the variation between two neighboring block
indexes is reduced. Finally, we compress the block indexes of the image with some
lossless compression methods. Adding our TSP scheme as a step in VQ (vector
quantization) index compression really achieves signi cant reducxtion of bit rates.
Our experiment results show that the bpp (bits per pixel) in our method is less than
the bpp of those without the TSP scheme.
目次 Table of Contents
TABLE OF CONTENTS
Page
LIST OF FIGURES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
LIST OF TABLES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
ABSTRACT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0
Chapter 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Chapter 2. Vector Quantization (VQ) . . . . . . . . . . . . . . . . . . . 3
2.1 The LBG Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
2.2 The LDF Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
Chapter 3. Lossless Compression Methods . . . . . . . . . . . . . . . . 10
3.1 Set Partitioning in Hierarchical Trees(SPIHT) . . . . . . . . . . . . . 11
3.2 Context-based, Adaptive, Lossless Image Coding (CALIC) . . . . . . 16
3.3 Search-Order Coding (SOC) . . . . . . . . . . . . . . . . . . . . . . . 21
3.4 Address VQ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
Chapter 4. The TSP Scheme for VQ Indexes . . . . . . . . . . . . . . 24
4.1 An Algorithm for the Traveling Salesperson Problem (TSP) . . . . . 25
4.2 Our Indexes Compression Algorithm . . . . . . . . . . . . . . . . . . 28
Chapter 5. Experimental Results . . . . . . . . . . . . . . . . . . . . . . 31
Chapter 6. Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
參考文獻 References
BIBLIOGRAPHY
[1] V. R. Algazi and R. R. Estes, Analysis based coding of image transform and
subband coeÆcients," Proceedings of the SPIE, Vol. 2564, pp. 11{21, Apr. 1995.
[2] C. D. Bei and R. M. Gray, An improvement of the minimum distortion encod-
ing algorithm for vector quantization," IEEE Transactions on Communications,
Vol. C-33, No. 10, pp. 1132{1133, Oct. 1985.
[3] R. Bellman, Dynamic programming treatment of the traveling salesman prob-
lem," Journal of the ACM, Vol. 9, pp. 61{63, 1962.
[4] A. Buzo, A. H. Gray, R. M. G. Jr, and J. D. Markel, Speech coding based
on vector quantization," IEEE Transactions on Acoustics, Speech, and Signal
Processing, Vol. ASSP-28, No. 10, pp. 562{574, Oct. 1980.
[5] C. K. Chan and C. K. Ma, A fast method of design better codebooks for
image vector quantization," IEEE Transactions on Communications, Vol. 42,
No. 2/3/4, pp. 237{243, Feb./Mar./Apr. 1994.
[6] C. Q. Chen, S. N. Koh, and P. Sivaprakasapillai, Codebook generation for
vector quantization," Electronics Letters, Vol. 31, No. 7, pp. 522{523, Mar.
1995.
[7] C. Q. Chen, S. N. Koh, and I. Y. Soon, Fast codebook search algorithm
for unconstrained vector quantization," IEE Proc.-Vis. Image Signal Process,
Vol. 145, No. 2, pp. 97{102, Apr. 1998.
[8] W. H. Equitz, A new vector quantization clustering algorithm," IEEE Trans-
actions on Acoustics, Speech, and Signal Processing, Vol. 37, No. 10, pp. 1568{
1575, Oct. 1989.
[9] J. K. Flanagan, D. R. Morrell, R. L. Frost, C. J. Read, and B. E. Nelson,
Vector quantization codebook generation using simulated annealing," ICASSP
89, Vol. 3, pp. 1759{1762, Oct. 1989.
[10] P. Franti and T. K. O. Nevalainen, On the splitting method for vector quan-
tization codebook generation," Optical Engineering, Vol. 36, No. 11, pp. 3043{
3051, Nov. 1994.
[11] C. H. Hsieh and J. C. Tsai, Lossless compression of vq index with search-order
coding," IEEE Transcations on Image Process, Vol. 5, No. 11, pp. 1579{1582,
Nov. 1996.
[12] C. H. Hsieh and J. C. Tsai, Lossless compression of vq index with search-order
coding," IEEE Transcations on Image Process, Vol. 5, pp. 1579{1582, 1996.
[13] M. C. Huang and C. B. Yang, Fast algorithm for designing better codebooks
in image vector quantization," Optical Engineering, Vol. 36, No. 12, pp. 3265{
3271, Dec. 1997.
[14] A. E. Jacquin, Fractal image coding: a review," IEE Proceedings, Vol. 81,
pp. 1451{1465, Oct. 1993.
[15] R. L. Joshi and P. G. Poonacha, A new mmse encoding algorithm for vector
quantization," IEEE Int. Conf. Acoust., Speech, and Signal Processing, Vol. 1,
pp. 645{648, May 1991.
[16] C. H. Lee and L. H. Chen, A fast search algorithm for vector quantization
using mean pyramids of codewords," IEEE Transactions on Communications,
Vol. 43, No. 2/3/4, pp. 1697{1702, Feb./Mar./Apr. 1995.
[17] Y. C. Lin and S. C. Tai, Fast feature-based vector quantization algorithm of
image coding," Optical Engineering, Vol. 34, No. 10, pp. 2918{2926, Oct. 1995.
[18] Y. Linde, A. Buzo, and R. M. Gray, An algorithm for vector quantizer design,"
IEEE Transactions on Communications, Vol. C-28, No. 1, pp. 84{95, Jan. 1980.
[19] J. D. C. Little, K. G. Mutry, D. W. Sweeney, and C. Karel, An algorithm for
the traveling salesman problem," Operations Research, Vol. 11, pp. 972{989,
1963.
[20] K. T. Lo and W. K. Cham, Subcodebook searching algorithm for eÆcient vq
encoding of images," IEE Proceedings-1, Vol. 140, No. 5, pp. 327{330, Oct.
1993.
[21] B. Marangelli, A vector quantizer with minimum visible distortion," IEEE
Transactions on Signal Processing, Vol. 39, No. 12, pp. 2718{2721, Dec. 1991.
[22] N. M. Nasrabadi, C. Y. Choo, and Y. Feng, Dynamic nite-state vector quan-
tization of digital images," IEEE Transactions on Communications, Vol. 42,
No. 5, pp. 2145{2154, May 1994.
[23] N. M. Nasrabadi and Y. Feng, Image compression using address-vector quanti-
zation," IEEE Transactions on Communications, Vol. 38, pp. 2166{2173, Dec.
1990.
[24] N. M. Nasrabadi and R. A. King, Image coding using vector quantization: a
review," IEEE Transactions on Communications, Vol. 36, No. 8, pp. 957{971,
Aug. 1988.
[25] T. Orchard, A fast nearest-neighbor search algorithm," IEEE Int. Conf.
Acoust., Speech, and Signal Processing, Vol. 4, pp. 2297{2300, May 1991.
[26] G. Poggi, Fast algorithm for full-search VQ encoding," Electronics Letters,
Vol. 29, No. 12, pp. 1141{1142, June 1993.
[27] W. K. Pratt, Digital image processing. New York, American: John Wiley &
Sons, second ed., 1991.
[28] V. Ramasubramanian and K. K. Paliwal, Fast k-dimensional tree algorithm
for nearest neighbor search with application to vector quantization encoding,"
IEEE Transactions on Signal Processing, Vol. 40, No. 3, pp. 518{531, Mar.
1992.
[29] A. Said and W. A. Pearlman, A new, fast, and eÆcient image codec based
on set partitioning in hierarchical trees," IEEE Transactions on Circuits and
System For video Technology, Vol. 6, No. 3, pp. 243{250, June 1996.
[30] J. M. Shapiro, Embedded image coding using zerotrees of wavelet coeÆcients,"
IEEE Transactions on Signal Processing, Vol. 41, No. 12, pp. 3445{3462, Dec.
1993.
[31] V. S. Sitaram, C. M. Huang, and P. D. Israelsen, EÆcient codebooks for vector
quantization image compression with an adaptive tree search algorithm," IEEE
Transactions on Communications, Vol. 42, No. 11, pp. 3027{3033, Nov. 1994.
[32] M. R. Soleyamani and S. D. Morgera, A new mmse encoding algorithm for
vector quantization," IEEE Transactions on Communications, Vol. 37, No. 6,
pp. 656{659, June 1989.
[33] M. R. Soleymani and S. D. Morgera, An eÆcient nearest neighbor search
method," IEEE Transactions on Communications, Vol. COM-35, No. 6,
pp. 677{679, June 1987.
[34] S. C. Tai, Data compression. Taipei, Taiwan: Unalis, second ed., 1998.
[35] S. C. Tai, C. C. Lai, and Y. C. Lin, Two fast nearest neighbor searching algo-
rithms for image vector quantization," IEEE Transactions on Communications,
Vol. 44, No. 12, pp. 1623{1628, Dec. 1996.
[36] L. Torres and J. Huguet, An improvement on codebook search for vector
quantization," IEEE Transactions on Communications, Vol. 42, No. 2/3/4,
pp. 208{210, Feb./Mar./Apr. 1994.
[37] M. J. Weinberger, J. J. Rissanen, and R. B. Arps, Applications of universal
context modeling to lossless compression of gray-scale images," IEE Proceed-
ings, Vol. 5, pp.575{586, Apr. 1990.
[38] X. Wu and N. Memon, Context-based, adaptive, lossless image coding," IEEE
Transactions on Communications, Vol. 45, No. 4, pp. 437{444, Apr. 1997.
[39] C. I. Yang, J. S. Wang, and R. C. T. Lee, A branch-and-bound algorithm
to solve the equal-execution-time job scheduling problem with precedence con-
straint and pro le," Computers and Operations Research, Vol. 16, pp. 257{269,
1989.
[40] H. K. Yong and W. M. James, Adaptive entropy-code pruned tree-structured
predictive vector quantization of image," IEEE Transactions on Communica-
tions, Vol. 41, No. 1, pp. 171{185, Jan. 1993.
[41] P. Yu and A. N. Venetsanopoulos, Hierarchical nite-state vector quantization
for image coding," IEEE Transactions on Communications, Vol. 42, No. 11,
pp. 3020{3026, Nov. 1994.
[42] S. Zhong, F. Chin, and Q. Y. Shi, Adaptive hierarchical vector quantization
for image coding: new results," Optical Engineering, Vol. 34, No. 10, pp. 2912{
2917, Oct. 1995.
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:校內一年後公開,校外永不公開 campus withheld
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus:永不公開 not available

您的 IP(校外) 位址是 3.144.160.219
論文開放下載的時間是 校外不公開

Your IP address is 3.144.160.219
This thesis will be available to you on Indicate off-campus access is not available.

紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code