Rudin-Osher-Fatemi (ROF) Model for Blurring Removal in Digital Images

Abstract

The use of image is everywhere, from selfie to medical imaging. The quality of an image not only depends on camera type but also on the way it is captured. In real time applications quality of images, is not of that much important. But, in applications such as medical imaging and biometrics, where some information needs to be extracted from the images, quality of images becomes important. In images blurring and noise are two degrading processes, and they need to be suppressed before meaningful information can be extracted. In this paper, we concentrate on the blurring removal in images. For removal of the blurring Rudin-Osher-Fatemi model is considered, and obtained results found to be good.

Authors and Affiliations

Rakesh Jaiswal, Akash Awasthi

Keywords

Related Articles

slugEXPERIMENTAL ANALYSIS OF AN EXPLOSIVE TEST CHAMBER SUBJECTED TO INTERNAL BLAST LOADING

Explosive test chambers are huge closed chambers used in research, testing of explosive materials and armor, research, and testing of nature of explosives used in military and defense weapons. The chamber is a huge, cyl...

Femtocells: Technology of the Future

As the wireless technology and standards continue to evolve, wireless communication systems and standards promise to support an even higher number of mobile users, new applications, higher data rates, better coverage an...

Modeling of PV and Wind for Microgrid Application

This paper studies the modeling of PV and wind for microgrid application. Solar energy and wind energy are interminable and reliable renewable energy sources which become more and more popular among assiduous power syst...

Smoothening of Hybrid Photovoltaic (PV) and Wind Power Generation Fluctuations Using Bess

In this paper, a smoothening control method and a novel real-time battery energy storage station (BESS) based power allocation are proposed to reduce wind/PV hybrid output power fluctuations and regulating battery SOC u...

Design and Numerical Studies on Clamping Fixture for Machining an Automotive Pump Body

the paper discusses the design and analysis of a clamping fixture for a vertical machining centre (VMC) to machine an automotive pump body. Recent increase in competition, many industries has revisited their strategy to...

Download PDF file
  • EP ID EP21553
  • DOI -
  • Views 244
  • Downloads 5

How To Cite

Rakesh Jaiswal, Akash Awasthi (2016). Rudin-Osher-Fatemi (ROF) Model for Blurring Removal in Digital Images. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(1), -. https://europub.co.uk/articles/-A-21553