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## study on huber fractal image compressionPosted by: selvi Created at: Friday 02nd of April 2010 06:12:10 AM Last Edited Or Replied at :Friday 02nd of April 2010 06:27:20 AM | fractal image enlargement ,
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## fractal image compression 2011 papersPosted by: Created at: Tuesday 01st of April 2014 08:05:30 AM Last Edited Or Replied at :Tuesday 01st of April 2014 08:44:58 AM | fractal image compression ,
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## FRACTAL COMPRESSION pptPosted 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 | fractal ppt ,
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Different type of compression scheme worth exploring Takes advantage of similarities within an image Advanced detail interpolation High theoretical compression rates Fast decompression times fractalsTerm coined by Mandelbrot. Natural objects - fractals include clouds, mountain ranges, cauliflower. Mandelbrot set--- dimensionA point has dimension=0 A line has dimension =1 A plane has dimension =2 Objects live in spaces. Dimension of a space is related with degrees of freedom of the space. Dimension of natural objectsDimension of a leaf. .................. [:=> Show Contents <=:] | |||

## study on huber fractal image compressionPosted by: selvi Created at: Friday 02nd of April 2010 06:12:10 AM Last Edited Or Replied at :Friday 02nd of April 2010 06:27:20 AM | fractal image enlargement ,
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## fractal image compression seminar reportPosted 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 | fractal image compression matlab,
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ransforms. PROPERTIES OF FRACTALS A set F is said to be a fractal if it possesses the following poperties. 1. F is found to contain detail at every scale. 2. F is self-similar. 3. The fractal dimension of F is greater than itâ„¢s topological dimension. 4. F has got a simple algorithmic description. AFFINE TRANSFORMATIONS These are combinations of rotation, scaling and translation of the co-ordinate axis in an N-dimensional space. The figure shows an example of an affine transformation W which moves towards W.................. [:=> Show Contents <=:] | |||

## IMAGE COMPRESSION USING FRACTAL ALGORITHMSPosted by: nit_cal Created at: Saturday 31st of October 2009 05:54:15 AM Last Edited Or Replied at :Saturday 31st of October 2009 05:54:15 AM | image compression by dct,
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## Fractal Image CompressionPosted 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 | fractal image compression free,
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e 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 reconstructing the image for minimum error. This
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 freq.................. [:=> Show Contents <=:] | |||

## Fractal Image CompressionPosted by: computer science crazy Created at: Saturday 20th of September 2008 11:39:54 PM Last Edited Or Replied at :Monday 04th of June 2012 05:54:44 AM | Compression ,
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there are essentially two sorts of data compression lossless compression works by reducing the redundancy in the data the dec,
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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 fractal image compression.
Further work in this area was conducted by A.Jacquin, a student of Barnsley who published several
papers on this subject. He was the first to publish an efficient algorithm based on local fractal
system. Fractal image compression has the following features: Compression has high complexity. Fast.................. [:=> Show Contents <=:] |

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