08-09-2014, 10:24 PM
Amity School of Engineering & Technology
DIGITAL IMAGE PROCESSING & PATTERN RECOGNITION
Credit Units: 4
By Mukesh Bhardwaj
Module I : Frequency Domain Methods: Low pass & high pass filters
This presentation deals with various filtering techniques in frequency domain.We begin with low pass filters.
Edges and other sharp intensity transitions(such as noise) in an image contribute significantly to the high frequency content of its fourier transform.
Hence, smoothing (blurring) is achieved in frequency domain by high-frequency attenuation i.e., by low-pass filtering.
Attachment :
[attachment=16959]
DIGITAL IMAGE PROCESSING & PATTERN RECOGNITION
Credit Units: 4
By Mukesh Bhardwaj
Module I : Frequency Domain Methods: Low pass & high pass filters
This presentation deals with various filtering techniques in frequency domain.We begin with low pass filters.
Edges and other sharp intensity transitions(such as noise) in an image contribute significantly to the high frequency content of its fourier transform.
Hence, smoothing (blurring) is achieved in frequency domain by high-frequency attenuation i.e., by low-pass filtering.
Attachment :
[attachment=16959]
to V+.