Subject Name IMAGE PROCESSING Subject Code 10 EC
Subject Name: IMAGE PROCESSING Subject Code: 10 EC 763 Prepared By: K. PRAVEENA Department: ECE Date: 18. 08. 2014 6/4/2021
UNIT- 6 IMAGE ENHANCEMENT IN FREQUENCY DOMAIN 6/4/2021
Topics • Basics of spatial filtering • Smoothing Spatial Filters Image smoothing with masks of various sizes • Smoothing Spatial Filters • Order-Statistic Filters • Use of Second Derivatives for Enhancement The Laplacian • Combining Spatial Enhancement Methods • Homomorphic Filtering 6/4/2021
Basics of spatial filtering 6/4/2021
Basics of spatial filtering 6/4/2021
• Nonlinear spatial filtering usually uses a neighborhood too, but some other mathematical operations are use. These can include conditional operations (if …, then…), statistical (sorting pixel values in the neighborhood), etc. • Because the neighborhood includes pixels on all sides of the center pixel, some special procedure must be used along the top, bottom, left and right sides of the image so that the processing does not try to use pixels that do not exist. 6/4/2021
Smoothing Spatial Filters 6/4/2021
Smoothing Spatial Filters 6/4/2021
Smoothing Spatial Filters Image smoothing with masks of various sizes 6/4/2021
Smoothing Spatial Filters Another Example 6/4/2021
Order-Statistic Filters 6/4/2021
Sharpening Spatial Filters 6/4/2021
Use of Second Derivatives for Enhancement The Laplacian 6/4/2021
Use of Second Derivatives for Enhancement The Laplacian 6/4/2021
Use of Second Derivatives for Enhancement The Laplacian 6/4/2021
6/4/2021
Use of Second Derivatives for Enhancement The Laplacian: Simplifications 6/4/2021
Use of First Derivatives for Enhancement The Gradient 6/4/2021
Use of First Derivatives for Enhancement The Gradient 6/4/2021
Use of First Derivatives for Enhancement The Gradient: Using Sobel Operators 6/4/2021 .
Combining Spatial Enhancement Methods 6/4/2021 30
Homomorphic Filtering 6/4/2021 31
Homomorphic Filtering 6/4/2021
Convolution 6/4/2021
Convolution 6/4/2021 38
- Slides: 25