Fractal image compression (FIC) is a lossy compression method that has the potential to improve the performance of image transmission and image storage and provide security against illicit monitoring. The important features of FIC are high compression ratio and high resolution of decompressed images but the main problem of FIC is the computational complexity of the algorithm. Besides that, the FIC also suffers from a high number of Mean Square Error (MSE) computations for the best matching search between range blocks and domain blocks, which limits the algorithm. In this thesis, two approaches are proposed. Firstly, a new algorithm based on Imperialist competitive algorithm (ICA) is introduced. This is followed by a two-tier algorithm as th...
In the present work we study fractal image compression. We discuss basic techniques, published impro...
Fractal compression is a loss compression method for digital images, based on fractals. The method i...
Abstract—Fractal image compression has been developed in the last decades using different approaches...
Fractal Image Compression (FIC) is a very popular coding technique that is used in image/video appli...
Abstract—In this paper an adaptive algorithm is proposed to reduce the long time that has been taken...
Fractal Image Compression (FIC) is a state of the art technique used for high compression ratio. But...
grantor: University of TorontoFractal image compression is an attractive technique for ima...
Abstract—Fractal image compression explores the self-similarity property of a natural image and util...
As a structure-based image compression technology, fractal image compression (FIC) has been applied ...
Fractal Image Compression FIC as a model was conceptualized in the 1989 In furtherance there are...
The goal of this project is to implement a digital image encoder and decoder using a Fractal Block C...
Though it promised a high compression ratio and high decompression quality, the low fractal image co...
In the arena of, high speed data transmission and requirement of large data to store in minimum avai...
There are many attempts tried to improve the encoding stage of FIC because it consumed time. These a...
Abstract: As fractal image encoding algorithms can yield high-resolution reconstructed images at ver...
In the present work we study fractal image compression. We discuss basic techniques, published impro...
Fractal compression is a loss compression method for digital images, based on fractals. The method i...
Abstract—Fractal image compression has been developed in the last decades using different approaches...
Fractal Image Compression (FIC) is a very popular coding technique that is used in image/video appli...
Abstract—In this paper an adaptive algorithm is proposed to reduce the long time that has been taken...
Fractal Image Compression (FIC) is a state of the art technique used for high compression ratio. But...
grantor: University of TorontoFractal image compression is an attractive technique for ima...
Abstract—Fractal image compression explores the self-similarity property of a natural image and util...
As a structure-based image compression technology, fractal image compression (FIC) has been applied ...
Fractal Image Compression FIC as a model was conceptualized in the 1989 In furtherance there are...
The goal of this project is to implement a digital image encoder and decoder using a Fractal Block C...
Though it promised a high compression ratio and high decompression quality, the low fractal image co...
In the arena of, high speed data transmission and requirement of large data to store in minimum avai...
There are many attempts tried to improve the encoding stage of FIC because it consumed time. These a...
Abstract: As fractal image encoding algorithms can yield high-resolution reconstructed images at ver...
In the present work we study fractal image compression. We discuss basic techniques, published impro...
Fractal compression is a loss compression method for digital images, based on fractals. The method i...
Abstract—Fractal image compression has been developed in the last decades using different approaches...