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IEE/ACM TRANSACTIONS ON NETWORKING, VOL. 16, NO. 1, FEBRUARY 2008 105
Two Techniques for Fast Computation of
Constrained Shortest Paths
Shigang Chen, Member, IEE, Meongchul Song, Member, IEE, and Sartaj Sahni, Fellow, IEE
Abstract Computing constrained shortest paths is fundamental
to some important network functions such as QoS routing, MPLS
path selection, ATM circuit routing, and traffic engineering. The
problem is to find the cheapest path that satisfies certain constraints.
In particular, finding the cheapest delay-constrained pat ....etc

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send me uml diagrams of efficient relevance feedback for content based image retrieval by mining user navigation patterns ....etc

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I want the UML diagrams for sketch4match content based image retrieval system using sketches.
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uml diagrams for image compression

The objective of image compression is to reduce irrelevance and redundancy of the image data in order to be able to store or transmit data in an efficient form.Image compression may be lossy or lossless. Lossless compression is preferred for archival purposes and often for medical imaging, technical drawings, clip art, or comics. Lossy compression methods, especially when used at low bit rates, introduce compression artifacts. Lossy methods are especially suitable for natural images such as photographs in app ....etc

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I wants a complete seminar report on image compression.
my Email-id [email protected] ....etc

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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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