Structure-Oriented Spatio-Temporal Video Noise Estimation Conference Paper

abstract

• Noise can highly impact the performance of video processing algorithms. This paper proposes a new real-time spatio-temporal method for estimating the noise variance in video signals. The proposed algorithm selects 3D regions or cubes in the video signal with high intensity uniformity. The noise variance is estimated from the selected set of spatially, temporally and spatio-temporally intensity-uniform cubes using local variances calculated along homogeneous plains. The proposed algorithm works well for sequences with high structure and motion activity and outperforms other methods with a worst-case estimation error of 2 dB. It works well for highly noisy and non-noisy sequences. 2006 IEEE.

name of conference

• 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings

published proceedings

• 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings

author list (cited authors)

• Ghazal, M., Amer, A., & Ghrayeb, A.

citation count

• 3

complete list of authors

• Ghazal, Mohammed||Amer, Aishy||Ghrayeb, Ali

publication date

• January 2006

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference)  Journal

Digital Object Identifier (DOI)

• 10.1109/icassp.2006.1660475

International Standard Book Number (ISBN) 10

• 142440469X

International Standard Book Number (ISBN) 13

• 9781424404698

start page

• ii-845-ii-848

volume

• 2

URL

• http://dx.doi.org/10.1109/icassp.2006.1660475