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Image Processing Pre - Processing. Institute of Medical Engineering University of Lübeck Director: Prof. Dr. T. M. Buzug. Lecturer: Mandy Ahlborg. Noise - Different Types of Noise. Gaussian. Rayleigh. Gamma. Exponential. Uniform. Impulse. Noise - Different Types of Noise.

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image processing pre processing

Image ProcessingPre-Processing

Institute of Medical Engineering

University of Lübeck

Director: Prof. Dr. T. M. Buzug

Lecturer: Mandy Ahlborg

noise different types of noise
Noise - Different Types of Noise

Gaussian

Rayleigh

Gamma

Exponential

Uniform

Impulse

noise different types of noise1
Noise - Different Types of Noise

Gaussian noise

Rayleigh noise

noise different types of noise2
Noise - Different Types of Noise

Gamma noise

Exponential noise

noise different types of noise3
Noise - Different Types of Noise

Uniform noise

Impulse noise

noise filter masks
Noise - Filter Masks

How do we apply a mask?

noise filter masks1
Noise - Filter Masks

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Moving average

Median filter

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Noise - Filter Masks

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Midpoint filter

noise filter masks3
Noise - Filter Masks

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Gaussian/ Binomial filter mask

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Gaussian/Binomial filter

noise reduction with filtering
Noise Reduction with Filtering

Gaussian noise

Moving average filter

noise reduction with filtering1
Noise Reduction with Filtering

Impulse noise

Median filter

noise reduction with filtering2
Noise Reduction with Filtering

Impulse noise

Gaussian filter

noise reduction with filtering3
Noise Reduction with Filtering

Uniform noise

Moving average filter

noise anisotropic diffusion1
Noise - Anisotropic Diffusion

; iteration 20

; iteration 100

; iteration 1

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Noise - Anisotropic Diffusion

; iteration 20

; iteration 100

; iteration 1

noise anisotropic diffusion3
Noise - Anisotropic Diffusion

; iteration 20

; iteration 100

; iteration 1

spatial based m ethods boundary treatment
Spatial-basedMethods-Boundary Treatment

zero padding

constant extension

periodic repetition

symmetric extension

spatial based m ethods interpolation
Spatial-basedMethods - Interpolation

Nearest neighbor interpolation

spatial based methods interpolation
Spatial-based Methods - Interpolation

Original

Size reduction by 0.25 with

nearest neighbor interpolation

spatial based methods interpolation1
Spatial-based Methods - Interpolation

Original

Size reduction by 0.25 with

bilinear interpolation

spatial based methods interpolation2
Spatial-based Methods - Interpolation

Original

Size reduction by 0.25 with

bicubic interpolation

spatial based methods sharpening1
Spatial-basedMethods- Sharpening

detail mask

Source: lecture slides Computer Aided Medical Diagnosis, Prof. Navab, TU Munich

intensity based methods intensity transformations
Intensity-based Methods - Intensity Transformations

Identity

Negative

Thresholding

Dark ↔ Light

Dark ↔ Light

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intensity based methods intensity transformations1
Intensity-based Methods - Intensity Transformations

Contrast stretching

Contrast stretching

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Dark ↔ Light

Dark ↔ Light

Dark ↔ Light

intensity based methods intensity transformations2
Intensity-based Methods - Intensity Transformations

-Correction

Log transform

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Dark ↔ Light

Dark ↔ Light

Dark ↔ Light