References
- A. E. Jacquin, “Image Coding Based on a Fractal Theory of Iterated Contractive Image Transformations,” IEEE Transactions on Image Processing, vol. 1, No. 1, pp. 18-30, 1992. https://doi.org/10.1109/83.128028
- Y. Fisher, Fractal Image Compression: Theory and Application, Ed. Springer Verlag, New York, 1995.
- M. S. Lazar and L. T. Bruton, “Fractal Block Coding of Digital Video,” IEEE Transactions on Circuits & Systems for Video Technology, vol. 4, No. 3, pp. 297-308, 1994. https://doi.org/10.1109/76.305874
- Y. L. Lin and M. S. Wu, “An Edge Property-Based Neighborhood Region Search Strategy for Fractal Image Compression,” Computers & Mathematics with Applications, vol. 62, No. 1, pp. 310-318, 2011. https://doi.org/10.1016/j.camwa.2011.05.011
- C. Urmson and K. Ferens, “Video Compression through Fractal Block Coding,” IEEE Canadian Conference on Electrical and Computer Engineering, Vol. 2, pp. 465-467, 1998.
- K. U. Barthel and T. Voye, “Three-Dimensional Fractal Video Coding,” IEEE International Conference on Image Processing, vol. 3, pp. 260-263, 1995.
- V. D. Lima, R. S. William and H. Pedrini, “Fast Low Bit-Rate 3D Searchless Fractal Video Coding,” IEEE 24th SIBGRAPI Conference on Graphics, Patterns and Images, pp. 189-196, 2011
- Y. Fisher, D. Rogovin and T. P. Shen, “Fractal (self-VQ) Encoding of Video Sequences,” In the Proc. of SPIE Visual Communications and Image Processing, vol. 2308, pp. 1359-1370, 1994.
- C. S. Kim and S. U. Lee, "Fractal Coding of Video Sequence by Circular Prediction Mapping," In Fractals, vol. 5, pp. 75-88. 1997.
- M. Wang and C. H. Lai, “A Hybrid Fractal Video Compression Method,” Computers and Mathematics with Applications, vol. 50, No. 3-4, pp. 611-621, 2005. https://doi.org/10.1016/j.camwa.2004.11.019
- M. Wang, R. Liu and C. H. Lai, “Adaptive Partition and Hybrid Method in Fractal Video Compression,” Computers and mathematics with Applications, vol. 51, No. 11, pp. 1715-1726, 2006. https://doi.org/10.1016/j.camwa.2006.05.009
- Z. Yao and R. Wilson, “Hybrid 3D Fractal Coding with Neighborhood Vector Quantization,” EURASIP Journal on Advances in Signal Processing, vol. 16, pp. 2571-2579, 2004.
- B. Hurtgen and P. Buttgen, “Fractal Approach to Low Rate Video Coding,” in Proc. of the SPIE: Visual Communications and Image Processing ’93, vol. 2094, pp. 120-131, 1993.
- C. S. Kim, C. Kim, and S. U. Lee, “Fractal Coding of Video Sequence using Circular Prediction Mapping and Noncontractive Interframe Mapping,” IEEE Transactions on Image Processing, vol. 7, No. 4, pp. 601-605, 1998. https://doi.org/10.1109/83.663508
- S. Zhu, L. Li and Z. Wang “A Novel Fractal Monocular and Stereo Video Codec with Object-based Functionality,” EURASIP Journal on Advances in Signal Processing, vol. 2012:227, pp. 1-12, 2012. https://doi.org/10.1186/1687-6180-2012-1
- Z. Wang, A. C. Bovik, H. R. Sheikh and E. P. Simoncelli, “Image Quality Assessment: From Error Visibility to Structural Similarity,” IEEE Transactions on Image Processing, vol. 13, No. 4, pp. 600-612, 2004. https://doi.org/10.1109/TIP.2003.819861
- H. Hartenstein and D. Saupe, “Lossless Acceleration of Fractal Image Coding via the Fast Fourier Transform,” Signal Processing: Image Communication, Vol. 16, No. 4, pp. 383-394, 2000. https://doi.org/10.1016/S0923-5965(00)00003-5
- S. B. Dhok, R. B. Deshmukh and A. G. Keskar, “Efficient Fractal Image Coding using Fast Fourier Transform,” International Journal on Computing, vol. 1, No. 2, 2011.
- K. Belloulata, S. Zhu and Z. Wang, “A Fast Fractal Video Coding Algorithm Using Cross - Hexagon Search for Block Motion Estimation,” International Scholarly Research Network (ISRN) Signal Processing, pp. 1-10, 2011.
- S. Zhu, Y. Hou, Z. Wang and K. Belloulata, “Fractal Video Sequences Coding with Region-Based Functionality,” Applied Mathematical Modeling, vol. 36, No. 11, pp. 5633-5641, 2012. https://doi.org/10.1016/j.apm.2012.01.025
- K. Belloulata, A. Belalia, S. Zhu, “Object-Based Stereo Video Compression using Fractals and Shape-Adaptive DCT,” International Journal of Electronics and Communications, Vol. 68, No. 7, pp. 687-697, 2014. https://doi.org/10.1016/j.aeue.2014.02.011
- J. Wan, L. You, “A Fast Context-Based Fractal Mobile Video Compression with GA and PSO,” 2nd International Conference on Teaching and Computa-tional Science, pp. 112-115, 2014.
- C. C. Wang and C. H. Hsieh, “Efficient Fractal Video Coding Algorithm using Intercube correlation Search,” Optical Engineering, vol. 8, No. 39, pp. 2058-2064, 2000.
- Y. Bnjmohan and S. H. Mneney, “Low Bit-rate Video Coding Using Fractal Compression of Wavelet Subtrees,” IEEE 7th AFRICON Conference, vol. 1, pp. 39-44, 2004.
- Y. Zhang, L. M. Po and Y. L. Yu, “Wavelet Transform Based Variable Tree Size Fractal Video Coding,” IEEE International Conference on Image Processing, vol. 2, pp. 294-297, 1997.
- S. D. Wei and S. H. Lai, “Fast Normalized Cross Correlation Based on Adaptive Multilevel Winner Update,” Proc. of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing, pp. 413-416, 2007.
- R. E. Chaudhari and S. B. Dhok, “Acceleration of Fractal Video Compression using FFT,” 15th International Conference on Advanced Computing Technologies (ICACT), pp. 1-4, 2013.
- B. C. Song, “A Fast Normalized Cross-Correlation Based Block Matching Algorithm Using Multilevel Cauchy-Schwartz Inequality,” ETRI Journal, vol. 33, No. 3, pp. 401-406, 2011. https://doi.org/10.4218/etrij.11.0110.0315
- A. A. Eskinder, R. E. Chaudhari, and S. B. Dhok, “Fast Motion Estimation for Quad-Tree Based Video Coder Using Normalized Cross-Correlation Measure,” International Journal of Image processing (IJIP), vol. 7, No. 4, 2013.
- Y.M. Zhou, C. Zhang and Z.K. Zhang, “An Efficient Fractal Image Coding Algorithm using Unified Feature and DCT,” Chaos, Solitons & Fractals, vol. 39, No. 4, pp. 1823-1830, 2009. https://doi.org/10.1016/j.chaos.2007.06.089
- G. J. Sullivan and R. L. Baker, “Efficient Quadtree Coding of Image and Video,” IEEE Transactions on Image processing, vol. 3, No. 3, pp. 327-331, 1994. https://doi.org/10.1109/83.287030
- A. K. Jain, Fundamentals of Digital Image Processing, PHI publications, 1989.
- CIPR Sequences, http://www.cipr.rpi.edu/resource/sequences/