An image defined in the real world is considered to be a function of two real variables say x,y.

Before going to processing an image, it is converted into a digital form. Digitization includes sampling of image and quantization of sampled values.

After converting the image into bit information, processing is performed.

This processing technique may be,
Image enhancement
Image reconstruction
Image compression

Image enhancement refers to accentuation, or sharpening, of image features such as boundaries.

Image restoration is con ....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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I wants a complete seminar report on image compression.
my Email-id [email protected] ....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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To get full information or details of fractal image compression please have a look on the pages

http://seminarsprojects.net/Thread-fractal-compression-ppt

http://seminarsprojects.net/Thread-fractal-image-compression

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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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To get full information or details of fractal mage compression please have a look on the pages

http://seminarsprojects.net/Thread-fractal-compression-ppt

if you again feel trouble on fractal mage compression please reply in that page and ask specific fields in fractal mage compression ....etc

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Abstract
Watermarking, which belong to the information hiding field, has seen a lot of research interest recently. There is a lot of work begin conducted in different branches in this field. Steganography is used for secret conmunication, whereas watermarking is used for content protection, copyright management, content authentication and tamper detection. In this paper we present a detailed survey of existing and newly proposed steganographic and watenmarking techniques. We classify the techniques based on different domains in which d ....etc

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Digitization includes sampling of image and quantization of sampled values. After converting the image intobinary, processing is performed which maybe:
-Image enhancement
- Image reconstruction
- Image compression
Image compression deals with minimizing the no of bits required to represent an image.
An image in the real world is considered to be a function of two real variables, for example, F(x,y) with F as the amplitude (e.g. brightness) of the image at the position (x,y). An image contains regions-of-interests to which specific ima ....etc

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