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Image Processing

The document outlines a comprehensive curriculum on image processing, covering fundamental concepts, image enhancement techniques in both spatial and frequency domains, color image processing, image compression, and feature extraction. It includes practical exercises such as 2D convolutions, Fourier transforms, and various image manipulation techniques. The text references key textbooks and additional resources for further study in digital image processing.

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parvatha varthine
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218 views2 pages

Image Processing

The document outlines a comprehensive curriculum on image processing, covering fundamental concepts, image enhancement techniques in both spatial and frequency domains, color image processing, image compression, and feature extraction. It includes practical exercises such as 2D convolutions, Fourier transforms, and various image manipulation techniques. The text references key textbooks and additional resources for further study in digital image processing.

Uploaded by

parvatha varthine
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Image Processing

Unit I 12
Introduction & Fundamentals: Definition of image and Digital image processing -
Examples of Digital image processing- Fundamental steps in Digital image processing-
Components of image processing system Image acquisition- A simple image model- Zooming
and shrinking of digital image.
Unit II 12
Image enhancement in spatial domain: Introduction- Mathematical analysis of
enhancement in spatial domain- Basic gray level transformation- Histogram processing-
Histogram equalization - Histogram matching- Image enhancement using arithmetic and
logical operation- Basic transformation- Basics of spatial filtering- Image enhancement
infrequency domain: One dimensional fourier transform and its inverse- Two dimensional
fourier transform and its inverse Basics of filtering in frequency domain- Homomorphic
filtering.
Unit III 12
Color image processing: Introduction- Advantages of Color image processing-
Categories of Color image processing- Color fundamentals Primary colors - Secondary colors-
Primary and secondary colors for pigments- Characteristics that are used for differentiating
different colors- Color models- conversion between color models- Pseudo color image
processing- Color transformation- Color image smoothing and sharpening- Color
segmentation.
Unit IV 12
Image Compression: Introduction-Mathematical analysis- Types of data redundancies-
Image compression model - Compression strategies Morphological Image processing:
Introduction- Basic concept of set theory- Logic operations involving binary images- Dilation
and erosion opening and closing.
Unit V 12
Feature extraction and image segmentation: Introduction- Classification of features-
Features of an image - Attributes of features- Complete process of feature extraction -Image
segmentation – Thresholding Region based segmentation.
Text Book
1. Abhishak Yadav, Poonam Yadav, Digital Image Processing, University Science Press,
New Delhi, 2009 S Jayaraman, S Esakkirajan, T Veerakumar, Digital image processing
,Tata McGraw Hill, 2015
2. Gonzalez Rafel C, Digital Image Processing, Pearson Education, 2009
Reference Books
1. Jain Anil K , Fundamentals of digital image processing: , PHI,1988
2. Kenneth R Castleman , Digital image processing:, Pearson Education,2/e,2003 3. Pratt
William K , Digital Image Processing: , John Wiley,4/e,2007
Practical - Image Processing
1. Perform 2D Linear Convolution, Circular Convolution between two 2D matrices.

2. Perform Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT) of 4x4

gray scale image

3. Perform Brightness enhancement, Contrast Manipulation, Image negative of an

image.

4. Perform threshold operation on an image.

5. Perform Edge detection using different edge detectors.

6. Perform Dilation and Erosion operation.

7. Perform Opening and closing operations

8. Read a colour image and separate the image into red, blue and green planes.

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