Band Reject Filter in Image Preprocessing

Image enhancement and manipulation are crucial components in image preprocessing in this post we will explore about band reject filter image preprocessing with its mathematical working, python program implementation, applications and its certain limitations. Let’s start the post with definition of band reject filter.

What is Band Reject Filter?

Band Reject filter designed to block certain ranges of frequency while passing other specific range of frequencies. Band reject filters are characterized as notch as there is dip in the frequency response curve of band reject filters.

Popular band reject filters

Butterworth Band Reject Filter- Popularly used for medical imaging applications, such as MRI and CT scans, where removing noise without affecting image details is crucial for accurate diagnosis.

Gaussian Band Reject Filter- Populary used for elimiting unwanted things from the digital photographs to improve digital image without affecting sharpness of orginal image.

Notch Filter- Commonaly used to remove the fluorescent lighting from the microscopic images.

Elliptic Band Reject Filter- Generelly used for removing atmosphirc distribances from the seltellite areial images.