TY - GEN
T1 - Non-Local Noise Estimation for Adaptive Image Denoising
AU - Hanif, Muhammad
AU - Seghouane, Abd Krim
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - Image denoising is a classical linear inverse prob-lem with applications in remote sensing, medical imaging, astronomy and surveillance. This article addresses the image denoising problem using a non-local noise estimation based on the spatial redundancy offered by natural images. A low dimensional signal subspace is estimated using the statisti-cal strength of singular value decomposition (SVD), which reduces the computational burden and enhances the local basis screening. A multiple regression based approach is then applied on the estimated basis to calculate the observation noise and the whole image is restored by patch based processing. The proposed method is adaptive in the sense that all the algorithm parameters are learned from the observed noisy data. The simulated comparisons shows comparatively high performance of the proposed algorithm comparing to the other image denoising techniques.
AB - Image denoising is a classical linear inverse prob-lem with applications in remote sensing, medical imaging, astronomy and surveillance. This article addresses the image denoising problem using a non-local noise estimation based on the spatial redundancy offered by natural images. A low dimensional signal subspace is estimated using the statisti-cal strength of singular value decomposition (SVD), which reduces the computational burden and enhances the local basis screening. A multiple regression based approach is then applied on the estimated basis to calculate the observation noise and the whole image is restored by patch based processing. The proposed method is adaptive in the sense that all the algorithm parameters are learned from the observed noisy data. The simulated comparisons shows comparatively high performance of the proposed algorithm comparing to the other image denoising techniques.
UR - http://www.scopus.com/inward/record.url?scp=84963674148&partnerID=8YFLogxK
U2 - 10.1109/DICTA.2015.7371290
DO - 10.1109/DICTA.2015.7371290
M3 - Conference contribution
T3 - 2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015
BT - 2015 International Conference on Digital Image Computing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015
Y2 - 23 November 2015 through 25 November 2015
ER -