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Digital Video Signal Processing Lecture Note

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Name of Notes : – Digital Video Signal Processing Lecture Note

Introduction

Digital Image and Video Processing is a true multimedia, hands-on, Web-intensive, demonstration-rich course on digital image and video processing offered in the Department of Electrical and Computer Engineering at UT-Austin. Though intended for an electrical and computer engineering (ECE) curriculum, this junior/senior course attracts students (graduate and undergraduate alike) from various other majors such as psychology; geology; astronomy; mechanical, chemical, and aerospace engineering; and computer science. This popular course regularly attracts more than 80 students and is often the largest upper-division undergraduate class in ECE. There is also a steady enrollment of professionals from the local industries at Austin, Texas. In line with the academic variety of the audience, the main objective of this courses is “to make image processing accessible to an audience with heterogenous backgrounds by augmenting theory with numerous visual examples.” Introductory material covered in this course includes binary image processing, image analysis, and image enhancement, while the more advanced material covers topics like Hough transforms, edge detection and video processing.

Modules / Lectures

  • Digital Video Signal Processing
  • Frequency domain Analysis of Video Signals and frequency response of Human
  • Video Sampling
  • Video Sampling Rate Conversion
  • Video Modeling
  • Pinhole camera model
  • Motion Analysis
  • Video Coding Basics
  • References
  • Assignments

Additional information

Product Name

Digital Video Signal Processing Lecture Note

Product Size

6.92 MB

Format

File Format

File Category

DEPARTMENT/COURSE

Need For

College, Competition, Entrance, Exams, PSU, Semester, University

Product Type

Written By

Prof. Sumana Gupta

Provided By

IIT Kanpur

Uploaded By

Roop Chandra

Languages

English

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