June 2024
Intermediate to advanced
250 pages
9h 12m
English
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6: Fractional calculus perspective on noise removal in images
Abstract
The application of fractional calculus has led to the development of novel denoising techniques for images. These methods, which utilize fractional derivative and integral operators, have demonstrated enhanced performance compared to traditional approaches based on integer-order calculus. This chapter explores the use of fractional calculus in noise removal in images, presenting various approaches for Gaussian noise and salt-and-pepper noise. The chapter begins with an overview of fractional denoising masks for Gaussian noise, discussing mathematical prerequisites and discretizations for some of the integral operators. Numerical simulations are presented to demonstrate the effectiveness ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.