Image analysis – Image enhancement or restoration – Image filter
Reexamination Certificate
2007-04-10
2010-12-21
Perungavoor, Sath V (Department: 2624)
Image analysis
Image enhancement or restoration
Image filter
C382S254000, C382S275000, C382S240000, C358S001100, C358S003260, C358S443000, C358S463000
Reexamination Certificate
active
07856150
ABSTRACT:
The present invention is to provide a denoise method on Gaussian/Laplacian image pyramid, which integrates Pyramid analysis/synthesis algorithm, MMSE (minimum mean square error) filter and NL (non local) filter on the image pyramid to reconstruct and output a denoised image of an original input image through a plurality of iterative procedures, and utilizes an auto-adaptive noise estimation algorithm to find parameter of noise level used by the NL filter, so as to be easily embedded in mobile or handheld devices for obtaining better noise removing and anti-shaking results and remove noise much faster than the conventional denoise method, but only with less quality loss.
REFERENCES:
patent: 7515763 (2009-04-01), Zhong
patent: 2004/0071363 (2004-04-01), Kouri et al.
Aiazzi et al., “Pyramid-Based Multiresolution Adaptive Filters for Additive and Multiplicative Image Noise”,Aug. 1998, IEEE Transactions on Circuits And Systems—II: Analog And Digital Signal Processing, vol. 45, No. 8, pp. 1092-1097.
Lukin, “A Multiresolution Approach for Improving Quality of Image Denoising Algorithms”, 2006, IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP-2006.
Buades et al., “A Review of Image Denoising Algorithms, With A New One”, 2005, Society for Industrial and Applied Mathematics, vol. 4, No. 2, pp. 490-530.
Li Jian-Feng
Wang Jin
Arcsoft, Inc.
Bacon & Thomas PLLC
Heidemann Jason
Perungavoor Sath V
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