Add to ORKGIn this paper some modifications of fractal image coding are presented. Proposed methods are based on correlation coefficients computing as an alternative approach to searching of similarity between blocks. The convergence speed of decoding process is faster then convergence speed of standard method. The convergence process with modified start conditions of decoding process are analysed and verified on gray scale static images too
Fractal image compression depends on self-similarity, where one segment of a image is like the other...
Fractal image coding uses the similarities between the best matching domain blocks and range blocks ...
On the basis of the theory of iterated function systems (IFS), an image may be represented by a dyna...
This work contains a general description of fractal image compression, an introduction to fractals a...
Fractal codification of images is based on self-similar and self-affine sets. The codification proce...
The goal of this project is to implement a digital image encoder and decoder using a Fractal Block C...
In this paper, we present a, classification algorithm in fractal image coding. Based on the contract...
Though it promised a high compression ratio and high decompression quality, the low fractal image co...
In the present work we study fractal image compression. We discuss basic techniques, published impro...
xviii, 155 leaves : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EIE 2005 LaiThe aim of th...
Image compression based on fractal coding is a lossy compression method and normally used for gray l...
Fractal image compression applies the self-similarity property of image. Many researches have been d...
Abstract: The fractal image encoding method has received much attention for its many advantages over...
A least squares fractal approximation of image blocks in its neighborhood is presented. Compared wit...
AbstractIn this paper, we show how the generalized self-similarity model introduced by Cabrelli et a...
Fractal image compression depends on self-similarity, where one segment of a image is like the other...
Fractal image coding uses the similarities between the best matching domain blocks and range blocks ...
On the basis of the theory of iterated function systems (IFS), an image may be represented by a dyna...
This work contains a general description of fractal image compression, an introduction to fractals a...
Fractal codification of images is based on self-similar and self-affine sets. The codification proce...
The goal of this project is to implement a digital image encoder and decoder using a Fractal Block C...
In this paper, we present a, classification algorithm in fractal image coding. Based on the contract...
Though it promised a high compression ratio and high decompression quality, the low fractal image co...
In the present work we study fractal image compression. We discuss basic techniques, published impro...
xviii, 155 leaves : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EIE 2005 LaiThe aim of th...
Image compression based on fractal coding is a lossy compression method and normally used for gray l...
Fractal image compression applies the self-similarity property of image. Many researches have been d...
Abstract: The fractal image encoding method has received much attention for its many advantages over...
A least squares fractal approximation of image blocks in its neighborhood is presented. Compared wit...
AbstractIn this paper, we show how the generalized self-similarity model introduced by Cabrelli et a...
Fractal image compression depends on self-similarity, where one segment of a image is like the other...
Fractal image coding uses the similarities between the best matching domain blocks and range blocks ...
On the basis of the theory of iterated function systems (IFS), an image may be represented by a dyna...