Hi..
can anyone please send the MATLAB codings for the above project title to
dis mail ID [email protected]..? ....etc

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hi, i need for matlab code for facial expression recognition using frequency domain because i work on project facial expression recognition and i need to matlab code for convert sequence of image to wavelet or dct or multiwavelet for extract features from image then enter these features in database to enter in som network to cluster< for every one can help me i very thankful. ....etc

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This Image Steganography in frequency domain using DFT project was developed in Matlab tool for final year ECE & EE students, By using Steganography and DFT concept we will hide secrete image/message in the cover image. For encryption of the data and images we will use data encoding algorithm.In today's communication world, data sharing and transfer is increasing exponentially. The threat of an attacker accessing secret information has been an ever existing concern for the data communication experts. Cryptography and steganography are the mos ....etc

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Abstract
In this paper, we propose a method of image resolution enhancement using a single image. The proposed method enhances the resolution by emphasizing the high frequency of a magnified low resolution image. Experimental results show that the performance of our method has been improved by 13%-25% over the conventional interpolation methods.
I. INTRODUCTION
Recently, many users require high resolution images as applications and demands for high quality images are increasing. Moreover, we often transfer images by using mob ....etc

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1. Statistical Techniques For Detecting Traffic Anomalies Through Packet Header Data
2. A Geometric Approach To Improving Active Packet Loss Measurement
3. Probabilistic Packet Marking For Large-Scale Ip Trace back
4. Rate Allocation and Network Lifetime Problems for Wireless Sensor Networks
5. On Guaranteed Smooth Switching for Buffered Crossbar Switches
6. Efficient Broadcasting Using Store Mix Forward Method
7. Hba: Distributed Metadata Management For Large Cluster-Based Storage Systems
8. Minimizing File Download Time In Stochas ....etc

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i want more information about finger print image enchancement using filtering tech..i did project in it..so i want features and i used java coding..so i want more information about java how it is used in project..and i want information about how it can be develop using microprocessor.. ....etc

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IMAGE ENHANCEMENT TECHNIQUES USING FREQUENCY DOMAIN FILTERING

Image Enhancement?
It is the process of making an image more pleasable than the original image.

Why needed?
Noise introduced in to the image, out-of focus , atmospheric conditions, latency of imaging hardware.

Applications

Medical imaging.
Satellite imaging.
Material testing in industries.
Fingerprint identification.
Printing and publishing industry.

Conclusion

Thus, image enhancement techniques in frequency domain improves the des ....etc

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Presented By:
Shlomo Greenberg, Mayer Aladjem, Daniel Kogan and Itshak Dimitrov
Electrical and Computer Engineering Department,
Abstract
Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification and classification. Minutiae are local discontinuities in the fingerprint pattern, mainly terminations and bifurcations. In this work we propose two methods for fingerprint image enhancement. The first one is carried out using local histog ....etc

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to get information about the topic constructing inter domain packet filtering using bgp updates full report ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-constructing-inter-domain-packet-filters-to-control-ip-spoofing-based-on-bgp-updates--5836

http://seminarsprojects.net/Thread-constructing-inter-domain-packet-filters-to-control-ip-spoofing-based-on-bgp-updates--5836?pid=69705 ....etc

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Abstract

We propose a novel image denoising strategy based on an enhanced sparse representation in transform domain. The enhancement of the sparsity is achieved by grouping similar 2-D image fragments (e.g., blocks) into 3-D data arrays which we call groups. Collaborative filtering is a special procedure developed to deal with these 3-D groups. We realize it using the three successive steps: 3-D transformation of a group, shrinkage of the transform spectrum, and inverse 3-D transformation. The result is a 3-D estimate that co ....etc

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