TY - GEN
T1 - Image denoising using block matching and discrete cosine transform with edge restoring
AU - Enríquez, Alfredo E.Palacios
AU - Ponomaryov, Volodymyr
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/3/21
Y1 - 2016/3/21
N2 - Filtering of images contaminated by Gaussian additive noise has been an active field of image processing. In this paper, we propose a denoising method used in grayscale images. The designed method involves the next steps: Grouping via Block Matching, Filtering via DCT, Threshold, Segmentation, and, finally, postprocessing with Edge Restoration. The evaluation of novel method is performed using objective criteria (PSNR and SSIM) and subjective perception via human vision system.
AB - Filtering of images contaminated by Gaussian additive noise has been an active field of image processing. In this paper, we propose a denoising method used in grayscale images. The designed method involves the next steps: Grouping via Block Matching, Filtering via DCT, Threshold, Segmentation, and, finally, postprocessing with Edge Restoration. The evaluation of novel method is performed using objective criteria (PSNR and SSIM) and subjective perception via human vision system.
KW - Block-Matching
KW - Denoising image
KW - Discrete Cosine Transform
KW - Edge Detection
UR - http://www.scopus.com/inward/record.url?scp=84966558993&partnerID=8YFLogxK
U2 - 10.1109/CONIELECOMP.2016.7438566
DO - 10.1109/CONIELECOMP.2016.7438566
M3 - Contribución a la conferencia
AN - SCOPUS:84966558993
T3 - 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016
SP - 140
EP - 147
BT - 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th International Conference on Electronics, Communications and Computers, CONIELECOMP 2016
Y2 - 24 February 2016 through 26 February 2016
ER -