Image analysis – Image enhancement or restoration
Reexamination Certificate
2005-07-29
2008-08-26
Ahmed, Samir A. (Department: 2624)
Image analysis
Image enhancement or restoration
C382S274000, C348S607000, C348S701000
Reexamination Certificate
active
07418149
ABSTRACT:
A non-iterative 3D processing method and system is disclosed for generic noise reduction. The 3D noise reducer is based on a simple conversion of the five types of noise to equivalent additive noise of varying statistics. The proposed technique comprises also an efficient temporal filtering technique which combines Minimization of Output Noise Variance (MNV) and Embedded Motion Estimation (EME). The proposed temporal filtering technique may be furthermore combined with classical motion estimation and motion compensation for more efficient noise reducer. The proposed technique comprises also a spatial noise reducer which combines Minimum Mean Squared Error (MMSE) with robust and effective shape adaptive windowing (SAW) is utilized for smoothing random noise in the whole image, particularly for edge regions. Another modification to MMSE is also introduced for handling banding effect for eventual excessive filtering in slowly varying regions.
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Dinh Chon Tam Le
Nguyen Duong Tuan
Nguyen Thi Thanh Hien
Abecassis Alexandre
Ahmed Samir A.
Algolith Inc.
Fasken Martineau DuMoulin
Koziol Stephen R
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