It is about some overvie of image history and technique of image restoration.

1. IMAGE RESTORATION
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BY
Yogesh Kumar-201410048
Yogesh Kumar (201410048)
B.Tech Technical Seminar Presentation
Under the Guidance of
Mrs. CHARULATA PALAI

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OUTLINE
Yogesh Kumar (201410048)
B.Tech Technical Seminar Presentation

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Digital image processing focuses on two major
tasks
Improvement of pictorial information for human
interpretation
Processing of image data for storage, transmission and
representation for autonomous machine perception
What is Digital Image Processing?
Yogesh Kumar (201410048)
B.Tech Technical Seminar Presentation

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What is Digital Image ?
A digital image is a representation of a two-dimensional
image as a finite set of digital values, called picture elements
or pixels
Yogesh Kumar (201410048)
B.Tech Technical Seminar Presentation

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Image Inhancement
• Image Enhancement is the
process of adjusting digital
images so that the results are
more suitable for display or
further image analysis.
• Example:you can remove
noise, sharpen, or brighten an
image, making it easier to
identify key features.
B.Tech Technical Seminar Presentation
Yogesh Kumar (201410048)

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IMAGE RESTORATION
Image restoration attempts to restore images that have
been degraded
Almost Similar to image enhancement, but more objective.
B.Tech Technical Seminar Presentation
Yogesh Kumar (201410048)

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IMAGE ENHANCEMENT VS IMAGE RESTORATION
Image restoration assumes a degradation model that is
known or can be estimated.
Image Enhancement is subjective, where as image
restoration is objective process.
Image restoration try to recover original image from
degraded with prior knowledge of degradation process.
Restoration involves modeling of degradation and
applying the inverse process in order to recover the original
image.
Although the restore image is not the original image, its
approximation of actual image
B.Tech Technical Seminar Presentation
Yogesh Kumar (201410048)

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APPLICATION
•Leagal work
• fix the images which is blur or noisy
• use for the upgrading images quality.
B.Tech Technical Seminar Presentation
Yogesh Kumar (201410048)

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RESTORATION TECHNIQUE
• Inverse Filtering.
• Minimum Mean Squares Errors.
• Weiner Filtering.
• Constrained Least Square Filter.
• Non linear filtering
• Advanced Restoration Technique.
B.Tech Technical Seminar Presentation
Sadhik Khan (201210042)

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NOISE MODELS
B.Tech Technical Seminar Presentation
Yogesh Kumar (201410048)
•Different models for the
image noise term η(x, y)
Gaussian
Most common model
Rayleigh
Erlangor Gamma
Exponential
Uniform
Impulse
Salt and pepper noise

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NOISE MODELS
B.Tech Technical Seminar Presentation
Yogesh Kumar (201410048)

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NOISE MODELS
B.Tech Technical Seminar Presentation
Yogesh Kumar (201410048)

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DEGRADATION MODEL
B.Tech Technical Seminar Presentation
Yogesh Kumar (201410048)
• Spatial Domain: g(x,y)=h(x,y)*f(x,y)+ŋ(x,y)
• Frequency Domain: G(u,v)=H(u,v)F(u,v)+ ŋ(u,v)
• Matrix: G=HF+ŋ

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Estimation of Degradation Model
Weather the spatial or frequency domain or Matrix, in all
cases knowledge of degradation function is important.
•Estimation of H is important in image restoration.
•There are mainly three ways to estimate the H as follows-
1.By Observation
2.By Experimentation.
3.Mathematical Modeling
After approximation the degradation function, we apply the
BLIND CONVOLUTION to restore the original image.
B.Tech Technical Seminar Presentation
Yogesh Kumar (201210042)

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Conclusion
• Restore the original image from degraded image, if u
have clue about degradation function, is called image
restoration.
• The main objective should be estimate the degradation
function.
• Spatial domain techniques are particularly useful for
removing random noise.
• Frequency domain techniques are particularly useful for
removing periodic noise.
B.Tech Technical Seminar Presentation
Yogesh Kumar (201410048)

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B.Tech Technical Seminar Presentation
Yogesh Kumar (201410048)