Rician noise removal in magnitude MRI images using efficient anisotropic diffusion filtering

2017 ◽  
Vol 27 (3) ◽  
pp. 248-264 ◽  
Author(s):  
Chandrajit Pal ◽  
Pabitra Das ◽  
Amlan Chakrabarti ◽  
Ranjan Ghosh
Keyword(s):  
Anisotropic Diffusion ◽  
Noise Removal ◽  
Rician Noise ◽  
Diffusion Filtering

scholarly journals An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Chandrajit Pal ◽  
Avik Kotal ◽  
Asit Samanta ◽  
Amlan Chakrabarti ◽  
Ranjan Ghosh
Keyword(s):  
Anisotropic Diffusion ◽  
Noise Removal ◽  
Fpga Implementation ◽  
Medical Surveillance ◽  
Simple Arithmetic ◽  
Space Applications ◽  
Edge Preserving ◽  
Anisotropic Diffusion Filter ◽  
Diffusion Filtering ◽  
Reconstruction Quality

Digital image processing is an exciting area of research with a variety of applications including medical, surveillance security systems, defence, and space applications. Noise removal as a preprocessing step helps to improve the performance of the signal processing algorithms, thereby enhancing image quality. Anisotropic diffusion filtering proposed by Perona and Malik can be used as an edge-preserving smoother, removing high-frequency components of images without blurring their edges. In this paper, we present the FPGA implementation of an edge-preserving anisotropic diffusion filter for digital images. The designed architecture completely replaced the convolution operation and implemented the same using simple arithmetic subtraction of the neighboring intensities within a kernel, preceded by multiple operations in parallel within the kernel. To improve the image reconstruction quality, the diffusion coefficient parameter, responsible for controlling the filtering process, has been properly analyzed. Its signal behavior has been studied by subsequently scaling and differentiating the signal. The hardware implementation of the proposed design shows better performance in terms of reconstruction quality and accelerated performance with respect to its software implementation. It also reduces computation, power consumption, and resource utilization with respect to other related works.

Anisotropic diffusion filtering for correlated multiple-coil MRI

2013 ◽  
Author(s):  
Gonzalo Vegas-Sanchez-Ferrero ◽  
Gabriel Ramos-Llorden ◽  
Rodrigo de Luis-Garcia ◽  
Antonio Tristan-Vega ◽  
Santiago Aja-Fernandez
Keyword(s):  
Anisotropic Diffusion ◽  
Diffusion Filtering
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