final presentation(image enhancement system)

Muhammad Hammaad Zubair

Roll Number 30(A)

Nauman Ali Roll Number 41(A)

Project Members

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Project Title

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Image Enhancement System

Image enhancement is the improvement of

digital image quality, This improvement includes filtering of the image and noise removal as well, In which degraded image can be restored

Introduction

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The main theme of this project is to open an

image and then apply the image processing techniques, these techniques may include,

Noise removal filtering Image enhancement

Project Description And Aims

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Definition: Image processing, deals with the

type of signals for which the input is an image and the output is also an image or parameters related to the image. As its name suggest, it deals with the processing on images

Image Processing

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Image Image

Input Output Processing

Analog images:

Analog image processing refers to the alteration of image through electrical meanFor example: Television image

Digital image:Digital image processing refers

processing of the image in digital form (0,1)For example: Digital camera

Types of image processing

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Medical:

X-ray, MRI, CAT etc Google map:

satellite/aerial views of land etc Industry:

inspection of items, products etc Law enforcement:

finger prints etc

Applications of Image Processing

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It can avoid problems such as the building up

of noise and signal distortion during processing

Digital image processing may be modeled in the form of multidimensional system

Digital image processing provide real instant images.

Processing is easy, efficient as more It has good accuracy, small physical cells and

very flexible

Advantages of digital image processing

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Noise is unwanted undesired variations in

pixel intensity values captured or transmitted image, Gaussian noise Speckle noise Salt and pepper noise

Noise

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Gaussian noise

Definition:variations in intensity drawn from a Gaussian normal distribution

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Speckle noise

Definition:Speckle noise is

a granular noise that inherently exists in and degrades the quality of the active radar and synthetic aperture radar images

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SALT AND PEPPER NOISE

Salt and pepper noise is also known as Impulse Noise.This noise can be caused by sharp & sudden disturbances in the image signal, Its appearance is randomly scattered white or black (or both) pixel over the image.

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Filter is the process of removing some

unwanted signals or noise from picture We will apply some filter to remove

background noise from the image Gaussian filter Mean filter Median filter Set filter manually

Filter

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Gaussian Filter

Gaussian filters weigh pixels based on their distance to the Location of convolution

Blurring noise while preserving features of the image

Smoothing the same in all directions More significance to neighboring pixels Gaussian filter removes the Gaussian noise

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Gaussian cont..

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Gaussian cont..

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Gaussian cont..

3x3 mask, Sigma 0.5

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Gaussian cont..

3x3 mask, Sigma 5

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Gaussian cont..

3x3 mask, Sigma 10

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Average Filter

Mean filter How it works

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Mean filter is simple, and easy to implement

method for smoothing imageFor example: reducing the amount of intensity variation between one pixel and the next. It is open used to reduce noise in images

It is linear filter

Average filter Cont..

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Average filter cont..

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Median filter. How it works. Remove salt and pepper noise.

Median Filter

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The median of the pixel value of the window is

computed, and then the center pixel of the window is replaced with the computed median value

The calculation of median is done is first sorting all the pixel value neighborhood (either ascending or descending order) and then replacing the pixel being considered with the middle pixel value

Median filter is non linear

Median filter

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Median Filter cont..

Neighbors of mid value by mask

Arrange all in ascending order

Pick the mid value and replace it with mid of mask

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Median filter cont..

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Median filter cont..

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Project slideshow

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Gaussian Noise

Project slides cont..

Speckle Noise

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Project slides cont..

Salt and Pepper noiseAWKUM

Project slides cont..

Gaussian filter

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Project slides cont..

Median filter

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Project slides cont..

Average filter

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Project slides cont..

Set Filter Manually

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We were working on image processing for

noise reduction system which can be used for image enhancement and removing different types of noise occurred in image while transferring or scanning data.

Future work will be on videos In Sha Allah

Conclusion

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