RECONSTRUCTION OF UNDERWATER IMAGE BY BISPECTRUM

Reconstruction of underwater object from a sequence of images distorted by moving water waves is a challenging task. A new approach is presented in this project. We make use of the bi spectrum technique to analyze the raw image sequences and recover the phase information of the true object. We test our approach on both simulated and real-world data, separately. Results show that the algorithm is very promising. Such technique has wide applications to areas such as ocean study and submarine ob ....etc

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hi....
myself srividya doing mtech, i want to do mini project on image processing so please send me source code in matlab on image reconstruction,restoration and enchancement ....etc

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Abstract
Introduction.
Proximal tibial bony deficienciesare frequent conditions in primary and revision total kneearthroplasty. Modular tibial metal augmentations wereintroduced to address these deficiencies hoping that they arebetter than other methods of reconstruction (cementreinforced with screws or structural bone graft).
Material and Methods.
During Jan 2000-Jul2009, 407 total knee arthroplasty were performed in ourdepartment. 24 patients had a varus alignament of the kneemore than 25°. For replace ....etc

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Bulk of recorded sound history the audio information was stored in
mechanical media, such as a phonograph record or wax cylinder, via
undulated surface incisions (grooves). The groovesâ„¢ shape and
position can be reconstructed without mechanical contact by using
precision optical metrology tools. The surface map thus obtained can be
digitally processed further to remove noise artifacts due to damage and
wear, and to convert the groove positional information into audio
format. The viability of this approach was recently demonstrated ....etc

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RECONSTRUCTION OF RECORDED SOUND
ABSTRACT
Bulk of recorded sound history the audio information was stored in mechanical media, such as a phonograph record or wax cylinder, via undulated surface incisions (grooves). The groovesâ„¢ shape and position can be reconstructed without mechanical contact by using precision optical metrology tools. The surface map thus obtained can be digitally processed further to remove noise artifacts due to damage and wear, and to convert the groove positional information into audio format. The viability of thi ....etc

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ABSTRACT
There is a growing demand in modeling amorphous shapes like statues, figurine or monuments for computer visualization and documentation. Using photographs as the data source is a most convenient recording mode on site. The equipment is easy to handle and transportation is in no case a problem as it can occur if a laser scanning device has to be employed.
A photograph is a container of high information density. It carries radiometric information and can provide range values as well. In terms of computer vision, structure from m ....etc

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Presented by
Saloni Goel


Cardiac CT Angiography Image Reconstruction
Introduction
The use of Content Adaptive Mesh model(CAMM) for Cardiac CT reconstruction is explored.
Cardiac CT Angiography images are being reconstructed.
Content-Adaptive Mesh Generation
Mesh modeling of an image involves partitioning the image into a collection of non-overlapping (generally polygon) patches, called mesh elements.
With a mesh model one can strategically place the mesh nodes more densely in regions con ....etc

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ABSTRACT

Bulk of recorded sound history the audio information was stored in mechanical media, such as a phonograph record or wax cylinder, via undulated surface incisions (grooves). The grooves’ shape and position can be reconstructed without mechanical contact by using precision optical metrology tools. The surface map thus obtained can be digitally processed further to remove noise artifacts due to damage and wear, and to convert the groove positional information into audio format. The viability of this approach was recently demon ....etc

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ABSTRACT
This paper describes two developments in the automatic reconstruction of buildings from aerial images. The first is an
algorithm for automatically matching line segments over multiple images. The algorithm employs geometric constraints
based on the multi-view geometry together with photometric constraints derived from the line neighbourhood, and achieves
a performance of better than 95% correct matches over three views. The second development is a method for automatically
computing a piecewise planar reconstruction based o ....etc

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I want a ppt slide for this topic.Please send me a ppt related to this topic. ....etc

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