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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