Matches in SemOpenAlex for { <https://semopenalex.org/work/W2893257939> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2893257939 abstract "Noise removal in medical images is extremely critical as retention of body tissue structures, contours is necessary for proper diagnosis. The nonlinear spatial bilateral filter provides an efficient denoising solution but its performance slows down with increase in image size and resolution. With continually increasing resolution of medical images, the filter implementation has to face the challenges of time and computational complexity arising from large data volumes. In recent years, data parallel computations are being implemented using graphics processing units (GPU) which are being extremely fast and cost effective. The purpose of the research work is to achieve real time performance using CUDA compliant GPU for denoising medical images of varying size and resolution. The speed up thus achieved is compared with CPU implementation of the filter in sequential domain. The work here also intends to show difference in speed up achieved with Matlab and OpenCv image processing tool kits for sequential domain implementation. The windows 10 implementation platform consists of Nvidia’s CUDA GPU GTX 830M device hosted by intel i5 dual core @ 2.2GHz. It was observed that, the GPU implementation of the bilateral filter completed the denoising task in 1.175 msec which is 613 times faster than its Matlab based CPU version and 89 times faster than its OpenCV based CPU version for large input image of 64Mpixel resolution. Also, for the CUDA GPU performance, average occupancy of 85% is achieved indicating effective parallelization." @default.
- W2893257939 created "2018-10-05" @default.
- W2893257939 creator A5039062244 @default.
- W2893257939 creator A5089177699 @default.
- W2893257939 date "2018-02-01" @default.
- W2893257939 modified "2023-10-02" @default.
- W2893257939 title "CUDA based Fast Bilateral Filter for Medical Imaging" @default.
- W2893257939 cites W1995194116 @default.
- W2893257939 cites W2046372571 @default.
- W2893257939 cites W2073202072 @default.
- W2893257939 cites W2091217484 @default.
- W2893257939 cites W2099046646 @default.
- W2893257939 cites W2099244020 @default.
- W2893257939 cites W2109991658 @default.
- W2893257939 cites W2137969878 @default.
- W2893257939 cites W2744526485 @default.
- W2893257939 cites W2963771965 @default.
- W2893257939 cites W4254340702 @default.
- W2893257939 doi "https://doi.org/10.1109/spin.2018.8474236" @default.
- W2893257939 hasPublicationYear "2018" @default.
- W2893257939 type Work @default.
- W2893257939 sameAs 2893257939 @default.
- W2893257939 citedByCount "4" @default.
- W2893257939 countsByYear W28932579392018 @default.
- W2893257939 countsByYear W28932579392019 @default.
- W2893257939 countsByYear W28932579392022 @default.
- W2893257939 countsByYear W28932579392023 @default.
- W2893257939 crossrefType "proceedings-article" @default.
- W2893257939 hasAuthorship W2893257939A5039062244 @default.
- W2893257939 hasAuthorship W2893257939A5089177699 @default.
- W2893257939 hasConcept C106131492 @default.
- W2893257939 hasConcept C111919701 @default.
- W2893257939 hasConcept C115961682 @default.
- W2893257939 hasConcept C121684516 @default.
- W2893257939 hasConcept C154945302 @default.
- W2893257939 hasConcept C156140930 @default.
- W2893257939 hasConcept C163294075 @default.
- W2893257939 hasConcept C173608175 @default.
- W2893257939 hasConcept C205372480 @default.
- W2893257939 hasConcept C21442007 @default.
- W2893257939 hasConcept C2778119891 @default.
- W2893257939 hasConcept C2779851693 @default.
- W2893257939 hasConcept C2780365114 @default.
- W2893257939 hasConcept C31972630 @default.
- W2893257939 hasConcept C41008148 @default.
- W2893257939 hasConcept C459310 @default.
- W2893257939 hasConcept C50630238 @default.
- W2893257939 hasConcept C99498987 @default.
- W2893257939 hasConceptScore W2893257939C106131492 @default.
- W2893257939 hasConceptScore W2893257939C111919701 @default.
- W2893257939 hasConceptScore W2893257939C115961682 @default.
- W2893257939 hasConceptScore W2893257939C121684516 @default.
- W2893257939 hasConceptScore W2893257939C154945302 @default.
- W2893257939 hasConceptScore W2893257939C156140930 @default.
- W2893257939 hasConceptScore W2893257939C163294075 @default.
- W2893257939 hasConceptScore W2893257939C173608175 @default.
- W2893257939 hasConceptScore W2893257939C205372480 @default.
- W2893257939 hasConceptScore W2893257939C21442007 @default.
- W2893257939 hasConceptScore W2893257939C2778119891 @default.
- W2893257939 hasConceptScore W2893257939C2779851693 @default.
- W2893257939 hasConceptScore W2893257939C2780365114 @default.
- W2893257939 hasConceptScore W2893257939C31972630 @default.
- W2893257939 hasConceptScore W2893257939C41008148 @default.
- W2893257939 hasConceptScore W2893257939C459310 @default.
- W2893257939 hasConceptScore W2893257939C50630238 @default.
- W2893257939 hasConceptScore W2893257939C99498987 @default.
- W2893257939 hasLocation W28932579391 @default.
- W2893257939 hasOpenAccess W2893257939 @default.
- W2893257939 hasPrimaryLocation W28932579391 @default.
- W2893257939 hasRelatedWork W189420351 @default.
- W2893257939 hasRelatedWork W1936382095 @default.
- W2893257939 hasRelatedWork W2009169896 @default.
- W2893257939 hasRelatedWork W2075046026 @default.
- W2893257939 hasRelatedWork W2142485291 @default.
- W2893257939 hasRelatedWork W2146871484 @default.
- W2893257939 hasRelatedWork W2319727539 @default.
- W2893257939 hasRelatedWork W2953065343 @default.
- W2893257939 hasRelatedWork W67367039 @default.
- W2893257939 hasRelatedWork W84129006 @default.
- W2893257939 isParatext "false" @default.
- W2893257939 isRetracted "false" @default.
- W2893257939 magId "2893257939" @default.
- W2893257939 workType "article" @default.