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<p>Die Seite wurde neu angelegt: „ == Reference == Hitashi, Gaganpreet Kaur, Sugandha Sharma: Fractal image compression- a review. International Journal of Advanced Research in Computer Scienc…“</p> <p><b>Neue Seite</b></p><div><br /> <br /> == Reference ==<br /> Hitashi, Gaganpreet Kaur, Sugandha Sharma: Fractal image compression- a review. International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 2, February 2012. <br /> <br /> == DOI ==<br /> <br /> == Abstract ==<br /> Fractal image compression is a comparatively recent technique based on the representation of an image by a contractive<br /> transform, on the space of images, for which the fixed point is close to the original image. This broad principle encompasses a very<br /> wide variety of coding schemes, many of which have been explored in the rapidly growing body of published research. While certain<br /> theoretical aspects of this representation are well established, relatively little attention has been given to the construction of a coherent<br /> underlying image model that would justify its use. Most purely fractal-based schemes are not competitive with the current state of the<br /> art, but hybrid schemes incorporating fractal compression and alternative techniques have achieved considerably greater success.<br /> This review represents a survey of the most significant advances, both practical and theoretical in original fractal coding scheme. In<br /> this paper, we review the basic principles of the construction of fractal objects with iterated function systems (IFS).<br /> <br /> == Extended Abstract ==<br /> <br /> == Bibtex == <br /> <br /> == Used References ==<br /> 1. Gonzalez, R. and Eugene, R. Digital image processing, 466, 2008.<br /> <br /> 2. Thyagarajan, S.K. Still image and video compression with matlab, 97-<br /> 100, 2007.<br /> <br /> Kaouri, A. H. . Fractal coding of still images. Queen’s university of<br /> Belfast, UK. 2002.<br /> <br /> Hu, L., Chen, Q. and qing, Z. An image compression method based on<br /> fractal theory. The 8th international conference on computer supported<br /> cooperative work in design proceedings, 546 – 550. 2003.<br /> <br /> Clarke r. J., “digital compression of still images and video”, London,<br /> academic press, 2nd printing, 1996.<br /> <br /> Jacquina. E., “image coding based on a fractal theory of iterated<br /> contractive image transformations”, ieee trans. Image processing, 1(1),<br /> 18-30, 1992.<br /> <br /> M. F. Barnsley, fractals everywhere. San Diego, ca: academic, 1988.<br /> <br /> E. Jacquin, “image coding based on a fractal theory of processing, vol.<br /> 1, pp. 18–30, jan. 1992.<br /> <br /> Y. Fischer, “a discussion of fractal image compression,” in chaos and<br /> fractals, h. O. Peitgen, h. Jurgens, and d. Saupe, eds. New York:<br /> springer-verlag, 1992.<br /> <br /> G. E. Oien, “l2-optimal attractor image coding with fast decoder<br /> convergence,” PhD. Dissertation, institute for teleteknikk, universities i<br /> Trondheim, Trondheim, Norway, 1993.<br /> <br /> M. F. Barnsley and a. D. Sloan, “a better way to compress images,”<br /> byte, vol. 13, no. 1, pp. 215– 233, 1988.<br /> <br /> M. Ghazel, g. H. Freeman, and e. R. Vrscay,“fractal image denoising,”<br /> ieee trans. Image process., vol. 12, no. 12, pp. 1560–1578, dec.2003.<br /> <br /> R. Pan and s. J. Reeves, “efficient huber-markov edge-preserving image<br /> restoration,” ieee trans. Image process., vol. 15, no. 12, pp. 3728–<br /> 3735,dec. 2006.<br /> <br /> Z. Wang, d. Zhang, and y. L. Yu, “hybrid image coding based on<br /> partial fractal mapping,” signal process. image commun., vol. 15,<br /> pp.767–779, 2000.<br /> <br /> R. Distasi, m. Nappi, and d. Riccio, “a range/domain approximation<br /> error-based approach for fractal image compression,” ieee trans. Image<br /> process., vol. 15, no. 1, pp. 89–97, jan. 2006.<br /> <br /> T. K. Truong, j. H. Jeng, i. S. Reed, p. C. Lee, and a. Q. Li, “a fast<br /> encoding algorithm for fractal image compression using the dct inner<br /> product,” ieee trans. Image process., vol. 9, no. 4, pp. 529–535, apr.<br /> 2000.<br /> <br /> 17. Yancong, Y. and Ruidong, P. Fast Fractal Coding Based on<br /> Dividing of Image, 2010.<br /> <br /> 18. Chaurasia, V. and Somkuwar, A. Speed up Technique for<br /> Fractal Image Compression, 2009.<br /> <br /> 19. Zhao, E. and Liu, D. Fractal Image Compression Methods: A<br /> Review. International Conference on Information Technology<br /> and Applications. 2005.<br /> <br /> <br /> == Links ==<br /> === Full Text === <br /> http://www.ijarcsse.com/docs/papers/february2012/volume_2_issue_2/V2I2062.pdf<br /> <br /> [[intern file]]<br /> <br /> === Sonstige Links ===</div>

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