Abstract. A fractal-based method for color image compression is presented. The method transforms the direct color components into three approximate principal components and applies a fractal-based compression method developed for gray-scale images to each new component. The main principal component, which contains a large amount of energy, is coded with high accuracy, while the other two components can be coded at lower accuracy and a very high compression ratio. The principal-component-based method gives an overall higher quality in the reconstructed image at a similar compression rate compared with compression based on other linear transforms of the color space.
Fractal compression is a loss compression method for digital images, based on fractals. The method i...
Digital image processing is exploited in many diverse applications but the size of digital images pl...
Fractal image compressions of Color Standard Lena and Satellite imageries have been carried out for ...
Fractal image compression depends on self-similarity, where one segment of a image is like the other...
Image compression based on fractal coding is a lossy compression method and normally used for gray l...
With the rapid increase in the use of computers and internet, the demand for higher transmission and...
With the rapid increase in the use of computers and internet, the demand for higher transmission and...
This work contains a general description of fractal image compression, an introduction to fractals a...
The objectives in the first part are to obtain large compression ratio and high image quality after ...
Abstract — This paper describes a color image compression technique based an iteration free fractal ...
The main intention of Fractal Image Compression is to reduce the size of image and maintain good lev...
In the present work we study fractal image compression. We discuss basic techniques, published impro...
In this paper a fast fractal encoding algorithm based on the law of cosines is implemented in MATLAB...
The goal of this project is to implement a digital image encoder and decoder using a Fractal Block C...
Fractal based digital image compression is a specific technique in the field of color image. The met...
Fractal compression is a loss compression method for digital images, based on fractals. The method i...
Digital image processing is exploited in many diverse applications but the size of digital images pl...
Fractal image compressions of Color Standard Lena and Satellite imageries have been carried out for ...
Fractal image compression depends on self-similarity, where one segment of a image is like the other...
Image compression based on fractal coding is a lossy compression method and normally used for gray l...
With the rapid increase in the use of computers and internet, the demand for higher transmission and...
With the rapid increase in the use of computers and internet, the demand for higher transmission and...
This work contains a general description of fractal image compression, an introduction to fractals a...
The objectives in the first part are to obtain large compression ratio and high image quality after ...
Abstract — This paper describes a color image compression technique based an iteration free fractal ...
The main intention of Fractal Image Compression is to reduce the size of image and maintain good lev...
In the present work we study fractal image compression. We discuss basic techniques, published impro...
In this paper a fast fractal encoding algorithm based on the law of cosines is implemented in MATLAB...
The goal of this project is to implement a digital image encoder and decoder using a Fractal Block C...
Fractal based digital image compression is a specific technique in the field of color image. The met...
Fractal compression is a loss compression method for digital images, based on fractals. The method i...
Digital image processing is exploited in many diverse applications but the size of digital images pl...
Fractal image compressions of Color Standard Lena and Satellite imageries have been carried out for ...