ECE 547 - Topics in Image Processing

Official Description

Fundamental concepts, techniques, and directions of research in image processing: two-dimensional Fourier transform and filtering, image digitization, coding, restoration, reconstruction, analysis, and recognition. Course Information: Same as CSE 543. Prerequisite: ECE 310 and ECE 313.

Prerequisites

Credit in ECE 313 or STAT 410
Credit in ECE 410

Subject Area

Signal Processing

Course Directors

Description

Examines fundamental concepts, techniques, and directions of research in image processing; topics include two-dimensional Fourier transform and filtering, image digitization, coding, restoration, reconstruction, analysis, and recognition.

Notes

Same as CSE 543.

Topics

  • Image compression: subband coding and wavelets; fractals; 3D model-based coding
  • Image enhancement and restoration: order-statistics filters; projection on convex sets; EM; reconstruction from incomplete data
  • 3D motion analysis: rigid objects; articulate objects; nonrigid motion
  • Markov random fields: texture analysis
  • Morphology: image enhancement; edge detection; shape analysis
  • Optical image processing: 2D Fourier transform; linear filtering; nonlinear processing
  • Image/video databases: content-based and similarity-based indexing and retrieval; video segmentation and keyframe extraction

Detailed Description and Outline

Topics:

  • Image compression: subband coding and wavelets; fractals; 3D model-based coding
  • Image enhancement and restoration: order-statistics filters; projection on convex sets; EM; reconstruction from incomplete data
  • 3D motion analysis: rigid objects; articulate objects; nonrigid motion
  • Markov random fields: texture analysis
  • Morphology: image enhancement; edge detection; shape analysis
  • Optical image processing: 2D Fourier transform; linear filtering; nonlinear processing
  • Image/video databases: content-based and similarity-based indexing and retrieval; video segmentation and keyframe extraction

Same as CSE 543.

Texts

T. S. Huang, Lectures on Image Processing (notes) and journal papers.

Last updated

2/13/2013