IMAGE RESTORATION
The main objective of restoration is to improve the quality of a digital image which has been degraded due to Various phenomena like:
Motion
Improper focusing of Camera during image acquisition.
Atmospheric turbulence
Noise
Noise is usually dealt with separately, while the other phenomena are modeled by degradation functions.
Let us first discuss the process of degradation due to uniform linear motion. Noise will be discussed at a later date.
Let us say that we are moving from left to ....etc

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ABSTRACT
The trend among pharmaceutical companies to develop selective drugs of high potency
has pushed the industry to consider the potential of each hazardous ingredient to become
airborne.Dustiness issues are not unique to the pharmaceutical industry, but are relevant
to any industry where powdered materials are mixed, transferred and handled. Interest in
dustiness is also driven by concerns for worker health, the potential for plant explosions
and the prevention of product loss. Unlike other industries, the ....etc

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An Object Oriented Approach to Image Restoration in Matlab



Regularization by Filtering

One method to choose regularization parameters is:
Generalized Cross Validation
For example, in Tikhonov, choose to minimize

Computational Issues:

1. Choose an appropriate basis for U and V
e.g., singular vectors, Fourier vectors, ..
2. Efficient algorithm (speed and storage) to compute

Iterative Regularization

Some examples:
1. Conjugate Gradient (CG)
2. (Cons ....etc

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Abstract

t-A new two-dimensional (2-D) block Kalman filtering method is presented which uses a full-plane image model to generate a more accurate filtered estimate of an image that has been corrupted by additive noise and full-plane blur. Causality is maintained within the filtering process by employing multiple concurrent block estimators. In addition, true state dynamics are preserved, resulting in an accurate Kalman gain matrix. Simulation results on a test image corupted by additive white Gaussian noise are presented for various image mo ....etc

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A Biologically Inspired Filter For Image Restoration

Satyadhyan Chickerur1, Aswatha Kumar M2
1 M.S.Ramaiah Institute of Technology/Information Science and Engineering Department, Bangalore, India
2 M.S.Ramaiah Institute of Technology/Information Science and Engineering Department, Bangalore, India


Abstract

Digital image restoration is a field of engineering
that studies methods used to recover original scene from the
degraded images and observations. Techniques used for
image restoration are oriented ....etc

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Dear sir,
i looking for matlab code source image restoration using a pde
thanks.
Dear sir,
i looking for matlab code source image restoration using a pde
thanks. ....etc

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Swasti dash.it is a very good site.I wil hope to get my topic the image restoration is a good for research area ....etc

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i need matlab code for an iterative image enhancement with fuzzy
thanks a lot ....etc

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hi sir my name is chinnoos..and i would like to kno more about the coding of image deblurring..
right now i am studying mathlab..
so to do blind image deblurring i need some help..

for example i wanted to implement blind image deblurring ....etc

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Although image restoration methods based on spectral filtering techniques are very efficient, they can be applied only to problems with fairly simple spatially invariant blurring operators. Iterative methods, however, are much more flexible; they can be very efficient for spatially invariant as well as spatially variant blurs, they can incorporate a variety of regularization techniques and boundary conditions, and they can more easily incorporate additional constraints, such as nonnegativity. This chapter describes a variety of iterative method ....etc

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