TY - JOUR
T1 - Parallel peer group filter for impulse denoising in digital images on GPU
AU - Tortolero Osuna, José Agustín
AU - Rosales Silva, Alberto Jorge
N1 - Publisher Copyright:
© 2019 Slovak Academy of Sciences. All rights reserved.
PY - 2019
Y1 - 2019
N2 - A new two-steps impulsive noise parallel Peer Group filter for color images using Compute Unified Device Architecture (CUDA) on a graphic card is proposed. It consists of two steps: impulsive noise detection, which uses a Fuzzy Metric as a distance criterion and a filtering step. For the needed ordering algorithm we are using the Marginal Median Filter with forgetful selection sort. Comparisons with other color filters for Graphics Processing Unit (GPU) architectures are presented, demonstrating that our proposal presents better performance in color preservation and noise suppression.
AB - A new two-steps impulsive noise parallel Peer Group filter for color images using Compute Unified Device Architecture (CUDA) on a graphic card is proposed. It consists of two steps: impulsive noise detection, which uses a Fuzzy Metric as a distance criterion and a filtering step. For the needed ordering algorithm we are using the Marginal Median Filter with forgetful selection sort. Comparisons with other color filters for Graphics Processing Unit (GPU) architectures are presented, demonstrating that our proposal presents better performance in color preservation and noise suppression.
KW - CUDA
KW - Color images
KW - Fuzzy metrics
KW - Impulse denoising
KW - Parallel architecture
UR - http://www.scopus.com/inward/record.url?scp=85084412020&partnerID=8YFLogxK
U2 - 10.31577/cai_2019_6_1320
DO - 10.31577/cai_2019_6_1320
M3 - Artículo
SN - 1335-9150
VL - 38
SP - 1320
EP - 1340
JO - Computing and Informatics
JF - Computing and Informatics
IS - 6
ER -