TY - GEN
T1 - Blind Denoising of Mixed Gaussian-impulse Noise by Single CNN
AU - Abiko, Ryo
AU - Ikehara, Masaaki
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - The removal of mixed noise is a stiff problem since the distribution of the noise cannot be predicted accurately. The most common mixed noise is the combination of Additive White Gaussian Noise (AWGN) and Impulse Noise (IN). Many methods first attempt to remove IN but it might collapse the texture of the image. In this paper, we propose a new learning-based method using convolutional neural network (CNN) for removing mixed gaussian-impulse noise. Since our denoising network can remove various level of mixed noise, neither the preprocessing for removing IN nor noise-level estimation is necessary.
AB - The removal of mixed noise is a stiff problem since the distribution of the noise cannot be predicted accurately. The most common mixed noise is the combination of Additive White Gaussian Noise (AWGN) and Impulse Noise (IN). Many methods first attempt to remove IN but it might collapse the texture of the image. In this paper, we propose a new learning-based method using convolutional neural network (CNN) for removing mixed gaussian-impulse noise. Since our denoising network can remove various level of mixed noise, neither the preprocessing for removing IN nor noise-level estimation is necessary.
KW - Image denoising
KW - Mixed noise
KW - convolutional neural network
KW - deep learning
UR - http://www.scopus.com/inward/record.url?scp=85069463156&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85069463156&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2019.8683878
DO - 10.1109/ICASSP.2019.8683878
M3 - Conference contribution
AN - SCOPUS:85069463156
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 1717
EP - 1721
BT - 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
Y2 - 12 May 2019 through 17 May 2019
ER -