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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 15, NO. 1, JANUARY 2005 113 Fast and Reliable Structure-Oriented Video Noise Estimation
 

Summary: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 15, NO. 1, JANUARY 2005 113
Fast and Reliable Structure-Oriented Video Noise Estimation
Aishy Amer, Member, IEEE, and Eric Dubois, Fellow, IEEE
Abstract--Noise can significantly impact the effectiveness
of video processing algorithms. This paper proposes a fast
white-noise variance estimation that is reliable even in images with
large textured areas. This method finds intensity-homogeneous
blocks first and then estimates the noise variance in these blocks,
taking image structure into account. This paper proposes a new
measure to determine homogeneous blocks and a new structure
analyzer for rejecting blocks with structure. This analyzer is
based on high-pass operators and special masks for corners to
stabilize the homogeneity estimation. For typical video quality
(PSNR of 2040 dB), the proposed method outperforms other
methods significantly and the worst-case estimation error is 3 dB,
which is suitable for real applications such as video broadcasts.
The method performs well both in highly noisy and good-quality
images. It also works well in images including few uniform blocks.
Index Terms--Adaptive variance averaging, homogeneous
regions, second-order operators, structure analyzers, textured

  

Source: Amer, Aishy - Department of Electrical and Computer Engineering, Concordia University

 

Collections: Engineering