i need ppt for image superresolution with sparse neighbor embedding ....etc

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Author: Dr. Sami Khorbotly

Abstract

Here, students learn how digital watermarking is used to authenticate and protect copyrights in digital multimedia by permanently embedding data (a watermark) in the object of interest that only the original owner can change or remove. In the process, they learn how digital images are represented in binary format and stored, and work in Matlab, becoming familiar with matrices, arrays, and strings, and learning various techniques for data manipulation.

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I need the full iee paper on Robust video data hiding using forbidden zone data hiding and selective embedding. I am unable to download it.I also require full implementation of this topic and the required code for this. ....etc

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to get information about the topic wireless fedility full report ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-wi-fi-wireless-fidelity-with-ppt-and-doc

http://seminarsprojects.net/Thread-wireless-fidelity-full-report?pid=16332&mode=threaded

http://seminarsprojects.net/Thread-wireless-fidelity ....etc

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Orthogonal Data Embedding for Binary Images in Morphological Transform Domain A High Capacity Approach


A PROJECT REPORT
Submitted For the Partial Fulfillment of the Requirement
For the Degree of Master of Computer Applications
By
PADMAVATHY.P
A7101PCA6847
Under the Guidance of
A.N.SWAMYNATHANA
....etc

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ROBUST DWT-SVD DOMAIN IMAGE WATERMARKING: EMBEDDING DATA IN ALL FREQUENCIES
Watermarking (data hiding) is the process of embedding data into a multimedia element such as image, audio or video. This embedded data can later be extracted from, or detected in, the multimedia for security purposes. A watermarking algorithm consists of the watermark structure, an embedding algorithm, and an extraction, or detection, algorithm. Watermarks can be embedded in the pixel domain or a transform domain. In multimedia applications, embedded watermarks shou ....etc

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Abstract A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as
classification problems where each class is defined as the group of database images labeled with a common semantic label. It is
shown that, by establishing this one-to-one correspondence between semantic labels and semantic classes, a minimum probability of
error annotation and retrieval are feasible with algorithms that are 1) conceptually simple, 2) computationally efficient, and 3) do not
require prior sema ....etc

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Abstract
Steganographic technique is a means of covert communi-
cation. In this paper, an adaptive image steganographywith
high capacity and good security is proposed. Based on lo-
cal complexity of a cover image, varying-depth embedding
is used to improve the imperceptibility and decrease dis-
tortions in it. Experimental results show that the stegano-
graphic technique may provide higher capacity and be re-
sistant to several well-known steganalytic methods.
1 Introduction
Classic methods of securing communicationmainl ....etc

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Orthogonal Data Embedding for Binary Images in
Morphological Transform Domain-A High- Capacity Approach
ABSTRACT:
This paper proposes a data-hiding technique for binary images in morphological transform domain for authentication purpose. To achieve blind watermark extraction, it is difficult to use the detail coefficients directly as a location map to determine the data-hiding locations. Hence, we view flipping an edge pixel in binary images as shifting the edge location one pixel horizontally and vertically. Based on this observation, we pro ....etc

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Reversible data-embedding scheme using differences between original and predicted pixel values
B.Tech Seminar report
by
Sandeep A S
Department of Computer Science And Engineering
Government Engineering College, Thrissur
December 2010

report:


Contents
1 Introduction 1
1.1 Organization Of the Report . . . . . . . . . . . . . . . . . . . . . . . . 1
2 Edge Directed Prediction 2
3 Embedding phase 4
3.1 Implementation . . . . . . . . . . . . . . . . . . . . . ....etc

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