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Posted by: seminar surveyer
Created at: Thursday 27th of January 2011 12:48:10 AM
Last Edited Or Replied at :Thursday 27th of January 2011 12:48:10 AM
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Developments in information storing and transmitting.
Communication links have grown fast.
Compressing data saves space and faster communication.
Efforts for new compression algorithms.

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.

Why Fractal Image Compression


Mathematical Background

How does i..................[:=> Show Contents <=:]

fractal image compression seminar report

Posted by: applied electronics
Created at: Tuesday 29th of December 2009 04:18:36 AM
Last Edited Or Replied at :Thursday 16th of February 2012 12:53:20 AM
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of W
2. Xw is unique. If we find any set S and an image transformation w satisfying W(s) =S, then S is the attractor of W.
Natural images are not self-similar. A typical image of a face does not contain the type of self similarity found in the fractals. The image does not appear to contain affine transformations of itself. But this image contains a different type of self-similarity. Here the image is formed of properly transformed parts of itself. These transformed parts do not fit toget..................[:=> Show Contents <=:]

Data Compression Techniques

Posted by: electrical engineering
Created at: Tuesday 29th of December 2009 02:43:47 AM
Last Edited Or Replied at :Thursday 01st of March 2012 12:11:42 AM
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alues 011 and 1000 are also similar in grayscale image but differ in all four bi-level images. This problem occurs, because, the binary codes of adjacent integers may differ by several bits. The binary codes of 0 and 1 differ by one bit, those of 1 and 2 differ by two bits and those of 7 and 8 differ by four bits. The solution is to design special binary codes such that the codes of any consecutive integers is and will differ by one bit only.
The most significant bit planes of an image obey the principle of image compression more than the least-significant ones. When adjacent pixels have val..................[:=> Show Contents <=:]

Video Image Compression Techniques

Posted by: vissu_52
Created at: Monday 21st of December 2009 03:01:11 AM
Last Edited Or Replied at :Friday 24th of February 2012 11:35:37 PM
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I want the report on Video Image Compressio..................[:=> Show Contents <=:]

Adaptive Wavelet Compression

Posted by: nit_cal
Created at: Friday 30th of October 2009 04:38:08 AM
Last Edited Or Replied at :Friday 30th of October 2009 04:38:08 AM
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composition of the input image is performed, and ..................[:=> Show Contents <=:]

Mpeg-4 Video Compression Download Semianr Report

Posted by: Computer Science Clay
Created at: Thursday 30th of July 2009 07:10:38 AM
Last Edited Or Replied at :Monday 11th of April 2011 01:23:32 AM
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MPEG-4 is building on the proven success of three fields: digital television, i..................[:=> Show Contents <=:]

Fractal Image Compression

Posted by: computer science crazy
Created at: Tuesday 07th of April 2009 01:34:55 PM
Last Edited Or Replied at :Thursday 16th of February 2012 12:53:28 AM
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stored on. Suppose we had to store a family album with say a hundred photos. To store this on a computer memory would require say a few thousands of dollars.

This problem can be solved by image compression. The number of pixels involved in the picture can be drastically reduced by employing image compression techniques. The human eye is insensitive to a wide variety of information loss. The redundancies in images cannot be easily detected and certain minute details in pictures can also be eliminated while storing so as to reduce the number of pixels. These can be further incorporated while ..................[:=> Show Contents <=:]

Data Compression Full Download Seminar Report and Paper Presentation

Posted by: computer science crazy
Created at: Tuesday 07th of April 2009 10:37:59 AM
Last Edited Or Replied at :Thursday 01st of March 2012 12:12:00 AM
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urce --- more specifically, the statistical nature of the source. It is possible to compress the source, in a lossless manner, with compression rate close to H. It is mathematically impossible to do better than H.

Download Seminar Report[:=> Show Contents <=:]

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