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LOSSLESS DATA COMPRESSION ALGORITHMS


Posted by: seminar class
Created at: Tuesday 22nd of March 2011 06:20:01 AM
Last Edited Or Replied at :Thursday 01st of March 2012 12:12:16 AM
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a reality.noe a day’s libraries, museums, film studios and government are converting more and more data archives into digital form. Some of the data indeed to be stored without any loss.
If the total number of bits required to represent the data before compression is Bo and the total number of bits required to represent the data after compression is b1. Then we define the compression ratio as
Compression ratio=Bo\B1
Basics of information theory: According to the famous scientist Claude e.shannon,of bell labs,the entropy n of an information source with al..................[:=> Show Contents <=:]



Wavelet Based Image Coding


Posted by: seminar class
Created at: Tuesday 22nd of February 2011 11:37:51 PM
Last Edited Or Replied at :Tuesday 22nd of February 2011 11:37:51 PM
wavelet based image compression ppt , wavelet based image compression seminar topic, sub band coding , wavelet coding seminar ppt, seminar topics based on wavelets ,
y wavelet coding ~ Choices of filters
– Subband filters aims at (approx.) non-overlapping freq. response
– Wavelet filters has interpretations in terms of basis and typically designed for certain smoothness constraints
(=> will discuss more )
 Shortcomings of subband coding
– Difficult to determine optimal bit allocation for low bit rate applications
– Not easy to accommodate different bit rates with a single code stream
– Difficult to encode at an exact target rate
Smoothness Conditions on Wavelet Filter
– Ensure the low band coefficients obtained by recursive filterin..................[:=> Show Contents <=:]



FRACTAL COMPRESSION ppt


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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ression rates
Fast decompression times

fractals
Term coined by Mandelbrot.
Natural objects - fractals include clouds, mountain ranges, cauliflower.

Mandelbrot set---

dimension
A 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 objects
Dimension of a leaf.

Dimension of a fern.

Dimension of a cloud.

fractals
Fractals are geometrical objects with fractional dimension.

Mathematical background..................[:=> Show Contents <=:]



Wavelet Based Palmprint Authentication System


Posted by: projectsofme
Created at: Friday 08th of October 2010 11:32:53 PM
Last Edited Or Replied at :Wednesday 13th of June 2012 05:40:17 AM
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make it a part of our daily life. This paper investigates the use of palm print for personal identification using combination of dif-ferent wavelets. Palmprint not only has the unique informa-tion available as on the fingerprint but has far more amount of details in terms of principal lines, wrinkles and creases. Moreover it can easily be combined with hand shape bio metric so as to form a highly accurate and reliable biometric based personal identification system. Palmprint based personal verification has become an in-creasingly active research topic over the years. The Palm-print is rich ..................[:=> Show Contents <=:]



A Digital Watermark Based on The Wavelet Transform and its Robustness on Image


Posted by: project topics
Created at: Sunday 25th of April 2010 11:00:43 PM
Last Edited Or Replied at :Wednesday 19th of December 2012 12:18:05 AM
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rotect the illegal duplications a, solution to this problem, a digital watermark technology is now drawing the attentions a new method of protecting copyrights for digi..................[:=> Show Contents <=:]



study on huber fractal image compression


Posted 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
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could i get a clea..................[:=> 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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Department of Electrical and Electronics Engineering, MES College of Engineering, Kuttippuram, for his cooperation and encouragement.
I would also like to thank my seminars guide and Staff in-charge
Asst. Prof. Gylson Thomas. (Department of EEE) for his invaluable advice and wholehearted cooperation without which this seminars would not have seen the light of day.
Gracious gratitude to all the faculty of the department of EEE & friends for their valuable advice and encouragement.


CONTENTS
1. INTRODUCTION 1
2. OVERVIEW OF IMAGE COMPRESSION 2
3. FRACTALS 4
4. PROP..................[:=> 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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ights wij. The guiding principle is that we want the first transformed value c1 to be large, and the remaining values c2, c3, ¦. To be small. The basic relation ci = j djwij suggests that ci will be large when each weight wij reinforces the corresponding data item dj. This happens, for example, when the vectors wij and dj have similar values and signs. Conversely, ci will be small if all the weights wij are small and half of them have the opposite sign of dj. Thus, when we get a large ci we know that the basis vector wij resembles the data vector dj. A small ci, on the other hand, means th..................[:=> 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 Imag..................[:=> Show Contents <=:]



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