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image for course Image Filtering and Enhancement

Image Filtering and Enhancement

Learn to enhance images to improve quality, reduce noise, and reveal patterns. Adjust image contrast and standardize contrast across multiple images. Apply linear and nonlinear filters to smooth noise and find edge and texture patterns. Use histograms and quality metrics to better understand and evaluate image data.

Course modules

Introduction

Familiarize yourself with the course.

Lessons:
  • Course Overview

Contrast Enhancement

Visualize the distribution of pixel intensities in an image and adjust contrast in images.

Lessons:
  • Increase Contrast in Low-Contrast Images
  • Standardize Uneven Brightness
  • Summary

Filtering for Image Enhancement

Enhance image quality by using filters to smooth and remove noise, and then compare the results.

Lessons:
  • Improve Image Quality with Filtering
  • Measure Image Quality
  • Summary

Find Patterns with Filters

Identify patterns and texture in images by using linear and nonlinear filters.

Lessons:
  • Pattern-Finding Filters
  • Texture Filters
  • Summary

Conclusion

Learn next steps and give feedback on the course.

Lessons:
  • Additional Resources
  • Survey

Format:Self-paced

Language:English

Language

  • Hands-on exercises with automated feedback
  • Access to MATLAB through your web browser
  • Shareable progress report and course certificate

Image Processing Onramp

Learn the basics of practical image processing techniques in MATLAB.

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