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CONCORDIA UNIVERSITY
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Fast and Reliable Structure-Oriented Video Noise Estimation
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 20–40 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.
Published in: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 15, NO. 1, JANUARY 2005
Software & Code is is avialable here
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