DATA COMPRESSION
Virtually all forms of data - text, numerical, image, video contain redundant elements
Data can be compressed by eliminating the redundant elements.
A code is substituted for the eliminated redundant element, where the code is shorter than eliminated element.
When compressed data is retrieved from storage or received over a communications link, it is expanded back to its original form, based on the code.
Compression is used:
to save storage space
to reduce communications transmission requiremen ....etc

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Abstract

Huffman coding can be used to compress all sorts of data. It is an entropy-based algorithm that relies on an analysis of the frequency of symbols in an array. Huffman coding can be demonstrated most vividly by compressing a raster image. Suppose we have a 5 5 raster image with 8-bit color, i.e. 256 different colors. The uncompressed image will take 5 x 5 x 8 = 200 bits of storage. This compression technique is used broadly to encode music, images, and certain communication protocols. Lossless JPEG compression uses the Huffman algorit ....etc

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give me difference between static huffman coding and dynamic huffman coding. ....etc

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i want to code project in java for file compression..
i want to file compression project in java code ....etc

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Data Compression Using Dynamic Huffman Coding ....etc

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To get full information or details of spiht image compression and decompression please have a look on the pages

http://seminarsprojects.net/Thread-modified-spiht-algorithm-for-wavelet-packet-image-coding

if you again feel trouble on spiht image compression and decompression please reply in that page and ask specific fields in spiht image compression and decompression ....etc

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could you please send me the power point presentationfor the file compression sunzip i'm unable to find could you pls mail me that document to my mail id [email protected] ....etc

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huffman algorithm and adaptive huffman algorithm binary image using matlab

Consider a black and white image. This image is made up of many pixels that are all different shades of gray which have a number value corresponding to the brightness or darkness of the shade. Black is 0, white is 255, and all the numbers in between are shades of gray. So, each pixel is coded as some integer from 0 to 255. In order to encode these integers, we must use bits. A bit have a value of either 0 or 1, and the maximum number of bits needed to code any number be ....etc

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To get full information or details of compression and decompression project please have a look on the pages

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

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

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i want image compression and decompression in android with source code. ....etc

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