An image defined in the real world is considered to be a function of two real variables say x,y.

Before going to processing an image, it is converted into a digital form. Digitization includes sampling of image and quantization of sampled values.

After converting the image into bit information, processing is performed.

This processing technique may be,
Image enhancement
Image reconstruction
Image compression

Image enhancement refers to accentuation, or sharpening, of image features such as boundaries.

Image restoration is con ....etc

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Digitization includes sampling of image and quantization of sampled values. After converting the image intobinary, processing is performed which maybe:
-Image enhancement
- Image reconstruction
- Image compression
Image compression deals with minimizing the no of bits required to represent an image.
An image in the real world is considered to be a function of two real variables, for example, F(x,y) with F as the amplitude (e.g. brightness) of the image at the position (x,y). An image contains regions-of-interests to which specific ima ....etc

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to get information about the topic data compression techniques full report ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-data-compression-techniques--5444

http://seminarsprojects.net/Thread-data-compression-full-download-seminars-report-and-paper-presentation

http://seminarsprojects.net/Thread-data-compression-and-huffman-algorithm

http://seminarsprojects.net/Thread-a-review-of-data-compression-techniques

http://seminarsprojects.net/Thread-lossless-data-compression-algorithms

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ABSTRACT
Data compression is the technique of converting an input data stream or the original data into another data stream which is shorter in length. There are many known methods for data compression. They are based on different ideas and are suitable for different types of data. But they all have the same principle that they compress data by removing the redundancy in the original data. Otherwise data compression can be looked up on as a change in representation from inefficient to efficient form.

INTROD ....etc

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ABSTRACT

In this seminars, we give a brief introduction to data compression followed by a review of various compression strategies designed specifically for XML data. We then present two novel XML compression techniques, AXECHOP and TREECHOP.
AXECHOP uses a grammar-based approach that exploits the significant structural redundancies within XML documents, while TREECHOP supports querying of compressed XML data without requiring prior decompression. TREECHOP, which supports querying of compressed XML data without requiring full ....etc

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to get information about the topic data compression techniques full report ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-data-compression-techniques--5444

http://seminarsprojects.net/Thread-data-compression-full-download-seminars-report-and-paper-presentation

http://seminarsprojects.net/Thread-data-compression-and-huffman-algorithm

http://seminarsprojects.net/Thread-a-review-of-data-compression-techniques

http://seminarsprojects.net/Thread-lossless-data-compression-algorithms

http://semi ....etc

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