COURSE SCHEDULE

Lecture Timings::

08:30 to 10:45 (Wednesday)

Lab Timings ::

Group 1
11:30 to 01:45 (Wednesday)

Group 2
11:30 to 01:45 (Thursday)

LECTURE 1

CHAPTER 1

INTRODUCTION

TOPICS COVERED



1.1: What is Digital Image Processing

• Pixel
• Digital Image
• Low level Processes
• Mid level Processes
• High level Processes


1.2: The Origins of Digital Image Processing


LECTURE 2

CHAPTER 1

INTRODUCTION

TOPICS COVERED



1.3: Examples of fields that uses Digital Image Processing

• Gamma Ray Imaging
• X- Ray Imaging
• Imaging in Ultraviolet band
• Imaging in Visible and Infrared bands
• Imaging in Microwave band
• Imaging in Radio band
• Examples in which other imaging modalities are used.


LECTURE 3

CHAPTER 1

INTRODUCTION

TOPICS COVERED



1.4: Fundamentals steps in Digital Image Processing

• Image Acquisition
• Image Enhancement
• Image Restoration
• Color Image Processing
• Image Compression
• Image Segmentation
• Morphological Image Processing
• Representation and Description
• Image Recognition

LECTURE 4

CHAPTER 1

INTRODUCTION

TOPICS COVERED



1.4: Components of an Image Processing system

• Image Sensors
• Image Processing Hardware
• Image Processing Software
• Image Displays
• Storage Media
• Communication Media


ASSIGNMENT # 1 GIVEN
DUE DATE:: 18th SEP,08

LECTURE 5

CHAPTER 2

DIGITAL IMAGE FUNDAMENTALS

TOPICS COVERED



2.1: Elements of Visual Perception

• Structure of Image Eye
• Image Formation in Eye
• Brightness Adaptation and Discrimination


2.2: Light and the Electromagnetic Spectrum

LECTURE 6

CHAPTER 2

DIGITAL IMAGE FUNDAMENTALS

TOPICS COVERED



2.3: Image Sensing and Acquisition

• Image Acquisition using a Single Sensor
• Image Acquisition using a Line Sensor
• Image Acquisition using a Array Sensor
• A simple Image Formation Model




CLASS ASSIGNMENT 1 TAKEN


LECTURE 7

CHAPTER 2

DIGITAL IMAGE FUNDAMENTALS

TOPICS COVERED



2.4: Image Sampling and Quantization

• Basic Concepts in Sampling and Quantization
• Representing Digital Images
• Spatial and Gray level Resolution
• Aliasing and Moire Patterns
• Zooming and Shrinking Digital Images

LECTURE 8

CHAPTER 2

DIGITAL IMAGE FUNDAMENTALS

TOPICS COVERED



2.5: Some Basic Relationship between Pixels

• Neighbors of a Pixel
• Adjacency
• Connectivity
• Regions
• Boundaries
• Distance Measures


LECTURE 9

CHAPTER 2

DIGITAL IMAGE FUNDAMENTALS

TOPICS COVERED



2.5: Some Basic Relationship between Pixels

• Image Operations on Pixel Basis

End Problems of Chapter 2




ASSIGNMENT # 2 GIVEN
DUE DATE:: 16th OCT,08

LECTURE 10

CHAPTER 3

IMAGE ENHANCEMENT IN SPATIAL DOMAIN

TOPICS COVERED



3.1: Background

3.2: Some Basic Gray level Transformations

• Image Negatives
• Log Transform
• Power Law Transform
• Piece Wise Linear Transformation Functions
o Contrast Stretching


LECTURE 11

CHAPTER 3

IMAGE ENHANCEMENT IN SPATIAL DOMAIN

TOPICS COVERED



3.2: Some Basic Gray level Transformations

• Piece Wise Linear Transformation Functions
o Gray level Slicing
o Bit Plane Slicing

3.3: Histogram Processing

• Histogram Equalization


CLASS ASSIGNMENT 2 TAKEN

LECTURE 12

CHAPTER 3

IMAGE ENHANCEMENT IN SPATIAL DOMAIN

TOPICS COVERED



3.4: Image Enhancement using Arithmetic/Logic Operations

• Image Addition
• Image Subtraction
• Image Multiplication
• AND operation
• OR Operation

3.5: Basics of Spatial Filtering



LECTURE 13

MONTHLY EXAM # 1

LECTURE 14

CHAPTER 3

IMAGE ENHANCEMENT IN SPATIAL DOMAIN

TOPICS COVERED




3.5: Basics of Spatial Filtering
• Local Enhancement through spatial filtering
• Spatial filtering for smoothing
• Smoothing spatial filters
• Box filter
• Weighted filter
• Order statistics filter
• Median filtering
• Correlation & convolution
• Spatial filtering for image sharpening

LECTURE 15

CHAPTER 3

IMAGE ENHANCEMENT IN SPATIAL DOMAIN

TOPICS COVERED


Spatial Filtering for Image Sharpening
• 1st Order Derivative
• 2nd Order Derivative
• Example of Discrete Derivatives
• Laplacian for Image Enhancement
• Unsharp Masking
• High Boost Filtering
• Gradient(1st Derivative and 2nd Derivative Filtering)
• Gradient Operators (Prewit, Sobel, Robert Cross)
• Combining Spatial Enhancement Methods



Assignment # 3 Given

LECTURE 16

CHAPTER 4

IMAGE ENHANCEMENT IN FREQUENCY DOMAIN

TOPICS COVERED




• Fourier Series
• Fourier Transform
• Applications of Fourier Transform
• 1-D Fourier Transform and its Inverse
• Discrete Fourier Transform
• 2-D Fourier Transform and its Inverse
• 2-D DFT
• Origin Shifting
• Properties of Fourier Transform


LECTURE 17

MONTHLY EXAM # 2
CLASS ASSIGNMENT 3 TAKEN

LECTURE 18

CHAPTER 4

IMAGE ENHANCEMENT IN FREQUENCY DOMAIN

TOPICS COVERED




• Filtering using Frequency Transform
• Example of Gaussian LPF and HPF
• Low Pass Filters
o Ideal LPF
o Butterworth LPF
o Gaussian LPF


LECTURE 19

CHAPTER 4

IMAGE ENHANCEMENT IN FREQUENCY DOMAIN

TOPICS COVERED

• High Pass Filters
o Ideal HPF
o Butterworth HPF
o Gaussian HPF

CHAPTER 6

COLOR IMAGE PROCESSING

TOPICS COVERED

• Introduction of Color Image Processing
• Full Color vs Pseudocode Processing
• EM Spectrum
• Color Fundamentals
• Achromatic VS Chromatic light
• Chromatic source of light


LECTURE 20


CHAPTER 6

COLOR IMAGE PROCESSING


TOPICS COVERED

• Human Perception
• Primary Colors VS Secondary Colors of light
• Tri-Stimulus values
• Chromaticity Diagram
• Color models
• RGB color model
• CMY and CMYK color model
• HSI color model
• Conversion From RGB to HSI model
• Conversion From HSI to RGB model
• Pseudo -color image processing
• Pseudo coloring using LUT
• Intensity Slicing


LECTURE 21

CHAPTER 6

COLOR IMAGE PROCESSING


TOPICS COVERED

• Basics of Full color image processing
• Color Transformations
• Color complements
• Color Slicing
• Color Image Smoothing
• Color Image Sharpening
• Noise in color images

CHAPTER 8

IMAGE COMPRESSION

TOPICS COVERED

• Coding Redundancy
• Interpixel Redundancy
• Psychovisual Redundancy

LECTURE 22


CHAPTER 8

IMAGE COMPRESSION

TOPICS COVERED

• Background of Image Compression
• Types of Image compression
• Data VS Information
• Data Redundancy
• Coding Redundancy
• Huffman coding
• Interpixel Redundancy
• Psychovisual Redundancy


LECTURE 23


CHAPTER 8

IMAGE COMPRESSION

TOPICS COVERED

• Error Free Compression
• Variable length Code
• Huffman Code Revisited
• Run Length coding
• Difference coding
• LZW Coding
• Bit Plane Coding

Assignment # 4 Given

LECTURE 24


CHAPTER 8

IMAGE COMPRESSION

TOPICS COVERED

• Binary image Compression
• Constant area coding
• Run Length coding
• 1-D Run Length coding
• 2-D Run Length coding


LECTURE 25


CHAPTER 8

IMAGE COMPRESSION

TOPICS COVERED

• Various variable Length coding Techniques
• End problems

LECTURE 26


CHAPTER 8

IMAGE COMPRESSION

TOPICS COVERED

• Transform coding
• Lossy compression
• JPEG compression
• Introduction of Morphological image processing

LECTURE 27


CHAPTER 9

MORPHOLOGICAL IMAGE PROCESSING

TOPICS COVERED

• Introduction
• Basic concepts from set theory
• Half tone images
• Dilation
• Erosion
• Region filling
• Applications of dilation and erosion

LECTURE 28

MONTHLY EXAM # 3

LECTURE 28


CHAPTER 9

MORPHOLOGICAL IMAGE PROCESSING

TOPICS COVERED

• Opening
• Closing
• Thinning
• Thickening
• Hit or Miss transform
• Extraction of connected components
• Boundary extraction
• Skeleton
• MAT
• Convex Hull