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Bezstratna kompresja obrazów z zastosowaniem predykcji opartej o logikę rozmytą

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Warianty tytułu
EN
Lossless image compression using fuzzy logic-based prediction
Języki publikacji
PL
Abstrakty
PL
W pracy zaproponowano wydajną, a jednocześnie prostą w implementacji metodę predykcji, wykorzystywaną do bezstratnej kompresji obrazów. W tym celu wykorzystany został predyktor oparty o reguły logiki rozmytej. Proponowana metoda uzyskała wyniki lepsze od użytych w JPEG i CALIC, zachowując przy tym niską złożoność implementacyjną systemu kompresji obrazów.
EN
The paper proposes an efficient, yet simple to implemented method of prediction, which is used for lossless image compression. For this purpose fuzzy logic-based predictor was used. The proposed method obtained better results than the ones used in JPEG and CALIC, while maintaining Iow complexity of implementing the image compression system.
Rocznik
Strony
133--136
Opis fizyczny
Bibliogr. 30 poz., tab.
Twórcy
autor
  • Zachodniopomorski Uniwersytet Technologiczny, Wydział Informatyki, Szczecin
Bibliografia
  • [1] Kassim A. A., Pingkun Yan, Wei Siong Lee, Sengupta K.: Motion compensated lossy-to-lossless compression of 4-D medical images using integer wavelet transforms. IEEE Transactions on Information Technology in Biomedicine, March 2005, vol. 9, no 1, pp. 132 - 138.
  • [2] Sanchez V., Nasiopoulos P., Abugharbieh R.: Efficient 4D motion compensated lossless compression of dynamic volumetric medical image data. IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2008, Las Vegas, Nevada, U.S.A., 31 March - 4 April 2008, pp. 549 - 552.
  • [3] Scharcanski J.: Lossless and Near-Lossless Compression for Mammographic Digital Images. Proceedings of International Conference on Image Processing ICIP'06, Atlanta, GA, USA, 8-11 October2006, pp. 2253 - 2256.
  • [4] Strom J., Cosman P.: Medical image compression with lossless regions of interest. Signal Processing, June 1997, vol. 59, no 2, pp. 155 - 171.
  • [5] Xiang Xie, GuoLin Li, ZhiHua Wang: A Near-Lossless Image Compression Algorithm Suitable for Hardware Design in Wireless Endoscopy System. EURASIP Journal on Advances in Signal Processing, vol. 2007, pp. 48 - 61.
  • [6] Chen X. et al.: Lossless Compression for Space Imagery in a Dynamically Reconfigurable Architecture. In Proc. of International Workshop on Applied Reconfigurable Computing (ARC2008), LNCS 4943, pp. 336 - 341, March 2008.
  • [7] Lossless Data Compression. Recommendation for Space Data System Standards, CCSDS 120.1-G-1. Green Book. Issue 1. Washington, D.C.: CCSDS, June 2007.
  • [8] Andriani S., Calvagno G., Erseghe T., Mian G. A., Durigon M., Rinaldo R., Knee M., Walland P., Koppetz M.: Comparison of lossy to lossless compression techniques for digital cinema Proceedings of International Conference on Image Processing ICIP'04, 24-27 Oct. 2004, vol. 1, pp. 513 - 516.
  • [9] Sayood K.: Introduction to Data Compression. 2nd edition, Morgan Kaufmann Publ., 2002.
  • [10] Wu X., Memon N. D.: CALIC - A Context Based Adaptive Lossless Image Coding Scheme IEEE Trans., on Communications, May 1996, vol. 45, pp. 437 - 444.
  • [11] Weinberger M. J., Seroussi G., Sapiro G.: LOCO-I: Lossless Image Compression Algorithm: Principles and Standardization into JPEG-LS. IEEE Trans, on Image Processing, vol. 9, no 8, August 2000, pp. 1309 - 1324.
  • [12] Meyer B., Tischer P.: TMW - a new method for lossless image compression. Proceedings of International Picture Coding Symposium (PCS97), Berlin, Germany, September 1997, pp. 533 - 538.
  • [13] Meyer B., Tischer P.: TMWLego - An Object Oriented Image Modelling Framework. Proceedings of Data Compression Conference 2001, pp. 504.
  • [14] Ye H.: A study on lossless compression of greyscale images. PhD thesis, Department of Electronic Engineering, La Trobe University, October 2002.
  • [15] Matsuda I., Ozaki N., Umezu Y., Itoh S.: Lossless coding using Variable Blok-Size adaptive prediction optimized for each image. Proceedings of 13th European Signal Processing Conference EUSIPCO-05 CD, September 2005.
  • [16] Marcellin M., Gormish M., Bilgin A., Boliek M.: An Overview of JPEG2000. Proceedings Data Compression Conference, Snowbird, Utah, March 2000, pp. 523 - 541.
  • [17] Park S.-G., Delp E. J.: Adaptive lossless video compression using an integer wavelet transform. Proceedings of International Conference on Image Processing ICIP'04, 24-27 October 2004, vol. 4, pp. 2251 - 2254.
  • [18] Wu X.: Lossless compression of continuous-tone images via context selection, quantization, and modeling. IEEE Transactions on Image Processing, vol. 6, no 5, May 1997, pp. 656 - 664.
  • [19] Carpentieri B., Weinberger M. J., Seroussi G.: Lossless compression of continuous-tone images. Proceedings of the IEEE, vol. 88, no 11, November 2000, pp. 1797 - 1809.
  • [20] Deng G.: Transform domain LMS-based adaptive prediction for lossless image coding. Signal Processing Image Communication, vol. 17, no 2, February 2002, pp. 219 - 229.
  • [21] Memon N. D., Sayood K.: Lossless image compression: a comparative study. Proc. SPIE, vol. 2418, 1995, pp. 8 - 20.
  • [22] Przelaskowski A.: Kompresja danych: podstawy, metody bezstratne, kodery obrazów. Warszawa, Wydawnictwo BTC, 2005.
  • [23] Skarbek W., i in.: Multimedia i standardy kompresji danych. Akademicka Oficyna Wydawnicza PLJ, Warszawa 1998.
  • [24] Topal C., Gerek Ö. N.: Pdf sharpening for multichannel predictive coders. Proceedings of 14th European Signal Processing Conference EUSIPCO-06 CD, September 2006.
  • [25] Deng G., Ye H.: A general framework for the second-level adaptive prediction. Proceedings of ICASSP'03, April 2003, vol. 3, pp. III_237 - 240.
  • [26] Memon N. D., Wu X.: Recent Developments in Context-Based Predictive Techniques for Lossless Image Compression. The Computer Journal, vol. 40, 1997, pp. 127 - 136.
  • [27] Estrakh D. D., Mitchell H. B., Schaefer P. A., Mann Y., Peretz Y.: “Soft” median adaptive predictor for lossless picture compression. Signal Processing, vol. 81, no 9, September 2001, pp. 1985 - 1989.
  • [28] Jiang J., Grecos C.: Towards an improvement on prediction accuracy in JPEG-LS. Optical Engineering, SPIE, 2002, vol. 41, no 2, pp. 335 - 341.
  • [29] Wang H., Zhang D.: A linear model and its application in lossless image coding. Signal Processing: Image Communication, 2004, vol. 19, pp. 955 - 958.
  • [30] Tian-Hu Yu: A fuzzy logic-based predictor for predictive coding of images. IEEE Transactions on Fuzzy Systems, vol. 6, no 1, February 1998, pp. 153 - 162.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWAK-0020-0031
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