A Parallel ASIC Architecture for Efficient Fractal Image Coding

@article{Acken1998APA,
  title={A Parallel ASIC Architecture for Efficient Fractal Image Coding},
  author={Kevin P. Acken and Mary Jane Irwin and Robert Michael Owens},
  journal={Journal of VLSI signal processing systems for signal, image and video technology},
  year={1998},
  volume={19},
  pages={97-113}
}
  • K. Acken, M. Irwin, R. Owens
  • Published 1 July 1998
  • Computer Science
  • Journal of VLSI signal processing systems for signal, image and video technology
Fractal image coding is a compression technique with many promising features, but it has been primarily placed in the class of archival coding algorithms due to its computationally expensive encoding algorithm. Though fractal coding has been extensively optimized for speed, it is still not practical for real-time applications on most sequential machines. The problem with fractal coding lies in the large amount of pixel block comparisons that are required, which makes fractal coding better… 
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References

SHOWING 1-9 OF 9 REFERENCES
An architectural design for parallel fractal compression
TLDR
This paper takes a known quad-tree fractal encoding algorithm and design an ASIC parallel image processing array that can encode reasonably sized gray-scale images in real-time and includes novel optimizations that result in speed improvements at the algorithmic, architectural, and circuit levels.
Image coding based on a fractal theory of iterated contractive image transformations
  • A. Jacquin
  • Computer Science
    IEEE Trans. Image Process.
  • 1992
TLDR
The author proposes an independent and novel approach to image coding, based on a fractal theory of iterated transformations, that relies on the assumption that image redundancy can be efficiently exploited through self-transformability on a block-wise basis and approximates an original image by a Fractal image.
Fractal image compression via nearest neighbor search
TLDR
The theory developed here shows that this basic procedure of fractal image compression is equivalent to multi-dimensional nearest neighbor search in a space of feature vectors so that both image quality and compression ratio can be improved at reduced computation time.
Fractal image compression
Design of an ASIC architecture for high speed fractal image compression
TLDR
The design and performance evaluation of an ASIC dedicated to fractal image compression and the obtained speed-up is 300 times with respect to the direct execution of the compression algorithm on a 100 MHz Pentium platform.
A micro-grained VLSI signal processor
  • M. Irwin, R. Owens
  • Computer Science
    [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing
  • 1992
TLDR
A very-fine-grain, VLSI processor is described, which maintains both a high degree of flexibility and fine grainness by reducing each processing cell to a small RAM and several multiplexers.
Two's Complement Pipeline Multipliers
  • R. Lyon
  • Computer Science
    IEEE Trans. Commun.
  • 1976
TLDR
This concise paper addresses the design of multipliers capable of accepting data in 2's complement notation, or both data and coefficients in 1's complement shorthand, and considers multiplier recoding techniques, such as the Booth algorithm.
Fractal Image Compression
This paper begins by presenting a simple explanation of the main ideas in fractal image compression. It then presents a brief discussion of the current state of the art along with some results
Fractals everywhere
Focusing on how fractal geometry can be used to model real objects in the physical world, this up-to-date edition featurestwo 16-page full-color inserts, problems and tools emphasizing fractal