2009
DOI: 10.1007/s10440-009-9529-y
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Analysis of Fractals, Image Compression, Entropy Encoding, Karhunen-Loève Transforms

Abstract: The purpose of this paper is to show that algorithms in a diverse set of applications may be cast in the context of relations on a finite set of operators in Hilbert space. The Cuntz relations for a finite set of isometries form a prototype of these relations. Such applications as entropy encoding, analysis of correlation matrices (Karhunen-Loève), fractional Brownian motion, and fractals more generally, admit multi-scales. In signal/image processing, this may be implemented with recursive algorithms using sub… Show more

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Cited by 12 publications
(2 citation statements)
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References 67 publications
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“…Ad(i). First note that by 7.16) and the normalization 18) where * denotes adjoint operator relative to the H E -inner product ·, · E . Applying this to f = δ x , the formula (7.12) follows.…”
Section: Sampling and Interpolationmentioning
confidence: 99%
“…Ad(i). First note that by 7.16) and the normalization 18) where * denotes adjoint operator relative to the H E -inner product ·, · E . Applying this to f = δ x , the formula (7.12) follows.…”
Section: Sampling and Interpolationmentioning
confidence: 99%
“…One way to encode the picture is the fractal image compression method, which concept was first introduced by Barnsley, see [10,11] and Barnsley and Hurd [13] and Barnsley and Elton [12]. Later, the theory developed widely, see for example Fisher [27], Keane, Simon and Solomyak [42], Chung and Hsu [19], Jorgensen and Song [40]. The idea behind the fractal image compression is that a natural image, such as a face, landscape etc., contains a kind of self-similarity.…”
Section: Introduction and Statementsmentioning
confidence: 99%