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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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of natural objects
Dimension of a leaf.

Dimension of a fern.

Dimension of a cloud.

Fractals are geometrical objects with fractional dimension.

Mathematical background
Started with Michael Barnsley, and refined by A. Jacquin
Try and find a set of transforms that map an image onto itself.
The key is the Collage Theorem
States that if the error difference between the target image and the transformation of that image is less than a certain value the transforms are an equivalent representation of the image.

Iterated function systems
An IFS is..................[:=> Show Contents <=:]

Speech Compression using GSM RPE-LTP full report

Posted by: seminar topics
Created at: Sunday 21st of March 2010 12:04:31 AM
Last Edited Or Replied at :Sunday 27th of March 2011 10:48:13 AM
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different widths. By forcing air through these cylinders, speech sounds can be generated” the LPC coder models this with a set of simultaneous equations.
The input data to the RPE-LTP coder is 20ms of speech composed of 160 samples, each with 13bit resolution. The data is first passed through a pre-emphasis filter:
Enhances high-frequency components of the signal. (better transmission efficiency.) Also removes any offset on the signal. (Simplifies computation.)

LPC Speech Generation

The model of speech generation can be thought of as air passing through a set of differe..................[:=> 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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th a 256x256 pixel image in which each pixel can be one of 256 level of gray. Let R1, R2,¦.. be the 8x8 pixel non-overlapping subsquares of the image and let D be the collection of all 16x16 pixel (overlapping subsequences of the image). For each Ri search through all of D to find a Di E D that looks like the image above Ri, i.e. minimizes the function.
That is, we find pieces Di and maps wi so that when we apply a wi to a part of the image over Di we get something that is very close to the part of..................[:=> 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 Compre..................[:=> 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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to the output stream. The method is compared with other wavelet based compression techniques and is found to have comparable performance in terms of compression ratio and quality of the reconstructed image.
..................[:=> 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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istribution and content access paradigms of the three fields. COMPRESSION.pdf&name=MPEG-4-VIDEO-COMPRESSION.pdf..................[:=> 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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is is the basic idea behind image compression. Most of the image compression techniques are said to be lossy as they reduce the information being stored.

The present method being employed consists of storing the image by eliminating the high frequency Fourier co-efficients and storing only the low frequency coefficients. This is the principle behind the DCT transformation which forms the basis of the JPEG scheme of image compression.

Barnsley suggested that storing of images as iterated functions of parts of itself leads to efficient image compression.In the middle of the 80's this conce..................[:=> 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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tead of saying Ëœyesâ„¢ a simple nod can do the same work, but by transmitting lesser data. In his 1948 paper, A Mathematical Theory of Communication, Shannon established that there is a fundamental limit to lossless data compression. This limit, called the entropy rate, is denoted by H. The exact value of H depends on the information source --- 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

http:/..................[:=> Show Contents <=:]

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