The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Noise Removal With Filtering Techniques
Abstract
An overview of the image noise models and the de-noising techniques available are presented here. Basically, filtering is one of the de-noising approaches that is normally performed in both spatial and frequency domains. Thus, this chapter focuses on these two approaches. Few filters like mean, median, sharpening, and adaptive median filter are discussed under spatial domain. In the frequency domain, as Butterworth filter suits better for images, Butterworth low pass, high pass, and band pass filters along with homomorphic filters are also analyzed. It also provides a comparative analysis of these approaches for both synthetic and medical images with some performance measures.
Related Content
|
Kuki Singh.
© 2022.
36 pages.
|
|
Hanshu Wang, Chenyang Zhang.
© 2022.
23 pages.
|
|
Nkholedzeni Sidney Netshakhuma.
© 2022.
21 pages.
|
|
Ileana Torres, Aubrey Statti, Kelly M. Torres.
© 2022.
33 pages.
|
|
Margarida M. Pinheiro, Vanda Santos.
© 2022.
28 pages.
|
|
María-Mercedes Rojas-de-Gracia, Ana Esteban, María J. Bentabol, María Dolores Rodríguez-Ruiz, Amparo Bentabol, Ana Paula Lopes, Filomena Soares, María M. Muñoz, Mariano Soler-Porta, Rocío Caña-Palma.
© 2022.
23 pages.
|
|
Sergio Francisco Sargo Ferreira Lopes, Jorge Manuel de Azevedo Pereira Simões.
© 2022.
23 pages.
|
|
|