Title :
A new view of fractal image compression as convolution transform coding
Author_Institution :
Inst. fur Inf., Freiburg Univ., Germany
fDate :
7/1/1996 12:00:00 AM
Abstract :
The article presents a new conceptual view of fractal image compression. It is based on image cross-correlation and the codebook coherence characteristic of fractal image compression. Our interpretation provides a close relationship to transform coding. As a first application, we demonstrate a technique for accelerating fractal encoding. It is lossless; i.e., it does not sacrifice any image quality and leads to a novel application of the fast Fourier transform-based convolution.
Keywords :
convolution; correlation methods; data compression; fast Fourier transforms; fractals; image coding; transform coding; FFT; codebook coherence; convolution transform coding; fast Fourier transform-based convolution; fractal encoding; fractal image compression; image cross-correlation; image quality; Acceleration; Convolution; Discrete cosine transforms; Extraterrestrial measurements; Fractals; Image coding; Image quality; Iterative decoding; Transform coding; Vector quantization;
Journal_Title :
Signal Processing Letters, IEEE