SIMULTANEOUS FRACTAL IMAGE DENOISING AND INTERPOLATION

M. Ghazel R. K. Ward R. Abugharbieh

University of British Columbia
ECE Dept.
Vancouver, B.C. V6T 1Z

E. R. Vrscay , G. H. Freeman
University of Waterloo
Applied Math Dept ECE Dept
Waterloo, ON. N2L 3G1

ABSTRACT

In this paper, a simple and effective fractal-based simultaneous image denoising and interpolation scheme is proposed and implemented. The denoising is performed during the fractal encoding process while the interpolation is performed ....etc

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INTRODUCTION
The subject of this work is image compression with fractals. Today JPEG has become an industrial standard in image compression. Further researches are held in two areas, wavelet based compression and fractal image compression. The fractal scheme was introduced by Michael F Barnsley in the year 1945.His idea was that images could be compactly stored as iterated functions which led to the development of the IFS scheme which forms the basis of fracta ....etc

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SUBMITTED BY
ANKIT ASOKAN

motivation
Developments in information storing and transmitting.
Communication links have grown fast.
Compressing data saves space and faster communication.
Efforts for new compression algorithms.

introduction
Proposed by M Bransley.
Contemporary compression techniques use DCT algorithm eg: JPEG,MPEG
New technique used for image compression known as fractal compression.
Properties of fractals are used.
High compression rate.

Overview
Why Fr ....etc

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Fractal Image Compression



Introduction

1.1 Compression

With the advent of multimedia, the necessity for the storage of large numbers of high quality images is increasing. One obstacle that has to be overcome is the large size of image files. For example, a single 800- by 600-pixel true-colour image requires three bytes per pixel, plus a header, which amounts to over 1.37 Mb of disk space, thus almost filling a 1.4Mb high-density diskette. Clearly, some form of compression ....etc

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Huber Fractal Image Compression is done in JAVA , and its A new similarity measure for fractal image compression (FIC) and Huber fractal image compression (HFIC), the linear Huber regression technique from robust statistics is embedded into the encoding procedure of the fractal image compression. When the original image is corrupted by noises, fractal image compression scheme should be insensitive to those noises presented in the corrupted image. This leads to a new concept of robust fractal image compression. The proposed HFIC is attempts to ....etc

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