Fast median filters using separable sorting networks

2021 ◽  
Vol 40 (4) ◽  
pp. 1-11
Author(s):  
Andrew Adams
Keyword(s):  
Sorting Networks ◽  
Median Filters

Fast median filters using separable sorting networks

2021 ◽  
Vol 40 (4) ◽  
pp. 1-11
Author(s):  
Andrew Adams
Keyword(s):  
Sorting Networks ◽  
Median Filters

scholarly journals Performance Assessment of Different VLSI Architectures for Data Comparators for Cost-Effective Sorting Networks

2019 ◽  
Vol 9 (1) ◽  
pp. 5485-5490
Keyword(s):  
Image Processing ◽  
Cost Effective ◽  
Noise Removal ◽  
Path Delay ◽  
Efficient Design ◽  
Hardware Complexity ◽  
Fpga Design ◽  
Edge Preservation ◽  
Sorting Networks ◽  
Median Filters

Noise removal is one of the major requirements in image, speech and signal processing applications. Impulse noise removal in image processing uses median filters. For edge preservation in image processing this acts as one of the best alternative non-linear technique to linear filtering. Real time hardware implementation of median filters has major concern of sorting networks. Efficient VLSI implementation of sorting network in terms of hardware complexity is of greater importance. This work provides a comparison of existing six data comparators and also proposes three modified data comparators in terms of their hardware complexity, area, power and speed. All the comparators were designed using verilog HDL and were targeted for xa6slx4-3-csg225using Xilinx ISE 9.2i FPGA design suite. From the results Modified Twos Complement Based Data Comparator is the minimum area required architecture with maximum combinational path delay and also with minimum number of LUTs used. The drawback of this architecture is the maximum memory requirement. The Modified Multiplexer Based Data Comparator and Modified Decoder Based Data Comparator architectures are suitable for memory efficient design.

scholarly journals Feasibility of Total Variation Noise Reduction Algorithm According to Various MR-Based PET Images in a Simultaneous PET/MR System: A Phantom Study

Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 319
Author(s):  
Chan-Rok Park ◽  
Seong-Hyeon Kang ◽  
Young-Jin Lee
Keyword(s):  
Image Quality ◽  
Noise Reduction ◽  
Total Variation ◽  
Parallel Imaging ◽  
Pulse Sequence ◽  
Reduction Algorithm ◽  
Median Filters ◽  
Reduction Techniques ◽  
Imaging Results ◽  
Noise Reduction Algorithm

Recently, the total variation (TV) algorithm has been used for noise reduction distribution in degraded nuclear medicine images. To acquire positron emission tomography (PET) to correct the attenuation region in the PET/magnetic resonance (MR) system, the MR Dixon pulse sequence, which is based on controlled aliasing in parallel imaging, results from higher acceleration (CAIPI; MR-ACDixon-CAIPI) and generalized autocalibrating partially parallel acquisition (GRAPPA; MR-ACDixon-GRAPPA) algorithms are used. Therefore, this study aimed to evaluate the image performance of the TV noise reduction algorithm for PET/MR images using the Jaszczak phantom by injecting 18F radioisotopes with PET/MR, which is called mMR (Siemens, Germany), compared with conventional noise-reduction techniques such as Wiener and median filters. The contrast-to-noise (CNR) and coefficient of variation (COV) were used for quantitative analysis. Based on the results, PET images with the TV algorithm were improved by approximately 7.6% for CNR and decreased by approximately 20.0% for COV compared with conventional noise-reduction techniques. In particular, the image quality for the MR-ACDixon-CAIPI PET image was better than that of the MR-ACDixon-GRAPPA PET image. In conclusion, the TV noise-reduction algorithm is efficient for improving the PET image quality in PET/MR systems.

Weighted Median Filters for Multichannel Signals

2006 ◽  
Vol 54 (11) ◽  
pp. 4271-4281 ◽  
Author(s):  
Y. Li ◽  
G.R. Arce ◽  
J. Bacca
Keyword(s):  
Median Filters ◽  
Multichannel Signals ◽  
Weighted Median ◽  
Weighted Median Filters
Sign in / Sign up

Export Citation Format

Share Document