Lecture:0Gaurav SahuAssistant ProfessorECE DepartmentPSIT Knpur

Antenna And Wave Propagation

Why Antenna?

“One picture is worth more than ten thousand words”

After DIP

Course Overview

• Text Book: • Digital Image Processing, Rafael C.

Gonzalez, Richard E Woods, 2nd Edition, PHI.

• Reference Book• Fundamentals of digital image processing,

Anil K. Jain.

• Digital image processing, S. Jayaraman, S. Esakkirajan, T. Veerakumar, MHP.

Course Assessment Model

Pre-requisites

1. EMT 2. Basics of Transmission Lines

Course Contents….

• Unit 1: Introduction to DIP• Fundamentals of DIP

• Sampling and Quantization

• Color Image Model

• Unit 2: Image Transform and Enhancement• One and Two dimensional DFT

• Cosine, Sine, KL and other Transforms

• Histogram Modeling

• Spatial Operations

• Unit 3: Image Restoration• Inverse and Wiener filtering

• Noise Reduction in Frequency Domain

….Course Contents.

• Unit 4: Image Compression• Pixel and Predictive Coding

• Transform Coding

• Inter Frame Coding

• Unit 5: Image Segmentation• Spatial Feature Extraction

• Edge Detection

• Segmentation Techniques

Unit 1: Introduction to DIP

• A digital image is a representation of a two-dimensional image as a finite set of digital values, called picture elements or pixels.

1 pixel

1 sample per point (B&W or Gray scale)

3 samples per point (Red, Green and Blue.)

4 samples per point (Red, Green, Blue and Opacity .)

Unit 2: Image Transform and Enhancement

Image Enhancement

Unit 3: Image Restoration

Image Restoration

Unit 4: Image Compression

Unit 5: Image Segmentation

Thresholding methods such as Otsu’s Method Color-based Segmentation such as K-means clustering

Texture methods such as texture filters