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Digital Image Processing

Description

  • To become familiar with digital image fundamentals
  • To get exposed to simple image enhancement techniques in Spatial and Frequency domain.
  • To learn concepts of degradation function and restoration techniques.
  • To study the image segmentation and representation techniques.
  • To become familiar with image compression and recognition methods

What Will I Learn?

  • Know and understand the basics and fundamentals of digital image processing, such as digitization, sampling, quantization, and 2D-transforms.
  • Operate on images using the techniques of smoothing, sharpening and enhancement.
  • Understand the restoration concepts and filtering techniques.
  • Learn the basics of segmentation, features extraction, compression and recognition methods for color models

Topics for this course

5 Lessons50h

Digital Image Processing

Lesson 1-DIGITAL IMAGE FUNDAMENTALS
Lesson 2-IMAGE ENHANCEMENT
Lesson 3- IMAGE RESTORATION
Lesson 4-IMAGE SEGMENTATION
Lesson 5-IMAGE COMPRESSION AND RECOGNITION

About the instructor

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518 Courses

3 students

Free

Material Includes

  • Rafael C. Gonzalez, Richard E. Woods, ‗Digital Image Processing‘, Pearson, Third Edition, 2010.
  • Anil K. Jain, ‗Fundamentals of Digital Image Processing‘, Pearson, 2002.

Requirements

  • B.E/Diploma Students Can Pursue this Course

Target Audience

  • All Engineering Students Can Participate