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Sayısal Görüntü İşleme Teknikleri

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Sayısal Görüntü İşleme Teknikleri

Doç. Dr. Mehmet Serdar Güzel

Slides are mainly adapted from the following course page:

http://www.comp.dit.ie/bmacnamee and

https://www.tutorialspoint.com

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Lecturer

Instructor: Assoc. Prof Dr. Mehmet S Güzel

Office hours: Tuesday, 1:30-2:30pm

Open door policy – don’t hesitate to stop by!

Watch the course website

Assignments, lab tutorials, lecture notes

slide 2

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What is Image Restoration?

Image restoration efforts to restore images that have been degraded

Identify the degradation process and attempt to reverse it

Similar to image enhancement, but more impartial

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What is Image Restoration?

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Noise Model

We can consider a noisy image to be modelled as follows:

where f(x, y) is the original image pixel, η(x, y) is the noise term and g(x, y) is the resulting noisy pixel

If we can estimate the model the noise in an image is based on this will help us to figure out how to restore the image

) ,

( )

, ( )

,

( x y f x y x y

g   

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Noise Models

Gaussian Rayleigh

Erlang Exponential

Uniform

Impulse

Images taken from Gonzalez & Woods, Digital Image Processing (2002) There are many different models for the image

noise term η(x, y):

Gaussian

Most common model

Rayleigh

Erlang

Exponential

Uniform

Impulse

Salt and pepper noise

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Zooming Methods

Methods

Pixel replication or (Nearest neighbor interpolation)

Zero order hold method

Zooming K times

Each of the methods have their own advantages and disadvantages. We will start by discussing pixel

replication

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Introduction to JPEG Compression

Image compression is the method of data compression on digital images.

The main objective in the image compression is:

Store data in an efficient form

Transmit data in an efficient form

Image compression can be lossy or lossless.

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JPEG compression

How jpeg compression works

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JPEG compression

How jpeg compression works

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JPEG compression

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