JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Prerequisite

Digital Signal Processing

Course Objectives

• 1. The student will be able to understand the quality improvement methods of Image.
• 2. To study the basic digital image and video filter operations.
• 3. Understand the fundamentals of Image Compression.
• 4. Understand the Representation of video, principles and methods of motion estimation.

Course Outcomes

On completion of this course student will be able to

• 1. Learn the image representation, and fundamental processing steps of an image.
• 2. Know the different enhancement techniques in both spatial and frequency domains.
• 3. Understand the importance of compression and different compression techniques.
• 4. Learn the representation, modeling and motion estimation of Video.

UNIT - I

Fundamentals of Image Processing and Image Transforms: Basic steps of Image Processing System Sampling and Quantization of an image, Basic relationship between pixels. Image Segmentation: Segmentation concepts, Point, Line and Edge Detection, Thresholding, Region based segmentation.

UNIT - II

Image Enhancement: Spatial domain methods: Histogram processing, Fundamentals of Spatial filtering, Smoothing spatial filters, Sharpening spatial filters. Frequency domain methods: Basics of filtering in frequency domain, image smoothing, image sharpening, Selective filtering.

UNIT - III

Image Compression: Image compression fundamentals - Coding Redundancy, Spatial and Temporal redundancy, Compression models: Lossy & Lossless, Huffman coding, , Bit plane coding, Transform coding, Predictive coding, Wavelet coding, Lossy Predictive coding, JPEG Standards.

UNIT - IV

Basic Steps of Video Processing: Analog Video, Digital Video. Time-Varying Image Formation models: Three-Dimensional Motion Models, Geometric Image Formation, Photometric Image Formation, Sampling of Video signals, Filtering operations.

UNIT - V

2-D Motion Estimation: Optical flow, General Methodologies, Pixel Based Motion Estimation, Block- Matching Algorithm, Mesh based Motion Estimation, Global Motion Estimation, Region based Motion Estimation, Multi resolution motion estimation, Waveform based coding, Block based transform coding, Predictive coding, Application of motion estimation in Video coding.

TEXT BOOKS:

• 1. Digital Image Processing – Gonzaleze and Woods, 4th Ed., Pearson, 2018.
• 2. Digital Video Processing – M. Tekalp, Prentice Hall International R19 M.TECH. WIRELESS AND MOBILE COMMUNICATIONS

REFERENCE BOOKS:

• 1. Video Processing and Communication – Yao Wang, Joem Ostermann and Ya–quin Zhang. 1st Ed., PH Int.
• 2. Digital Image Processing – S. Jayaraman, S. Esakkirajan, T. Veera Kumar –TMH, 2009 R19 M.TECH. WIRELESS AND MOBILE COMMUNICATIONS M.TECH.- I YEAR- II SEMESTER WIRELESS AND MOBILE COMMUNICATIONS