Image compression: a study of the iterated transform method
Signal Processing
Software/hardware co-design implementation for fractal image compression
ACM-SE 37 Proceedings of the 37th annual Southeast regional conference (CD-ROM)
A simple partitioning approach to fractal image compression
Proceedings of the 2001 ACM symposium on Applied computing
UNIX in a Nutshell System V
Adaptive Post-Processing for Region-Based Fractal Image Compression
DCC '00 Proceedings of the Conference on Data Compression
Three-dimensional fractal video coding
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
Real-time very low bit rate video coding with adaptive mean-removed vector quantization
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Hybrid Fractal Video Coding with Neighbourhood Vector Quantisation
DCC '04 Proceedings of the Conference on Data Compression
Fractal image compression on a pseudo spiral architecture
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
Real-time lossless compression of mosaic video sequences
Real-Time Imaging - Special issue on multi-dimensional image processing
Design of parallel algorithms for fractal video compression
International Journal of Computer Mathematics - Distributed Algorithms in Science and Engineering
A hybrid fractal video compression method
Computers & Mathematics with Applications
Adaptive partition and hybrid method in fractal video compression
Computers & Mathematics with Applications
Real-time 2-D wavelet transform implementation for HDTV compression
Real-Time Imaging
IEEE Transactions on Image Processing
A fast encoding algorithm for fractal image compression using the DCT inner product
IEEE Transactions on Image Processing
| Hi-index | 0.00 |
The authors' experience in the treatment of grey video compression using fractals is summarized and compared with other research in the same field. Experience with parallel and distributed computing is also discussed.