DocumentCode
3272865
Title
Real-time speckle reducing by Cellular Neural Network
Author
Long, Pham Duc ; Cat, Pham Thuong
Author_Institution
Fac. of Inf. Technol., Thai Nguyen Univ. Viet Nam, Thai Nguyen, Vietnam
fYear
2009
fDate
8-10 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
Speckle noises often appear in ultrasound and SAR images and demand for speckle reducing in real-time is increasing in many applications. In this paper, we propose a method for speckle noise reducing using Cellular Neural Network Universal Machine. This exploits the advantages of hybrid parallel/serial computing structure of CNN in real-time image processing.
Keywords
cellular neural nets; hybrid simulation; image denoising; speckle; SAR images; cellular neural network universal machine; hybrid parallel computing structure; hybrid serial computing structure; real time image processing; real time speckle reduction; speckle noise reduction; ultrasound images; Anisotropic magnetoresistance; Cellular neural networks; Concurrent computing; Filters; Image processing; Information technology; Noise reduction; Speckle; Turing machines; Ultrasonic imaging; Celllular Neural Network; Image processing; Speckle Reducing Anisotropic Diffusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on
Conference_Location
Macau
Print_ISBN
978-1-4244-4656-8
Electronic_ISBN
978-1-4244-4657-5
Type
conf
DOI
10.1109/ICICS.2009.5397738
Filename
5397738
Link To Document