Fast and reliable structure-oriented video noise estimation
Aishy Amer,Eric Dubois +1 more
TLDR
A new measure to determine homogeneous blocks and a new structure analyzer for rejecting blocks with structure based on high-pass operators and special masks for corners to stabilize the homogeneity estimation are proposed.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.read more
Citations
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Journal ArticleDOI
An Efficient SVD-Based Method for Image Denoising
TL;DR: The experimental results demonstrate that the proposed method can effectively reduce noise and be competitive with the current state-of-the-art denoising algorithms in terms of both quantitative metrics and subjective visual quality.
Proceedings ArticleDOI
A fast method for image noise estimation using Laplacian operator and adaptive edge detection
Shen-Chuan Tai,Shih-Ming Yang +1 more
TL;DR: Simulation results show that the proposed algorithm performs well for different types of images over a large range of noise variances, and performance comparisons against other approaches are provided.
Journal ArticleDOI
No-reference image and video quality estimation: Applications and human-motivated design
Sheila S. Hemami,Amy R. Reibman +1 more
TL;DR: A three-stage framework forNR QE is described that encompasses the range of potential use scenarios for the NR QE and allows knowledge of the human visual system to be incorporated throughout, and the measurement stage is surveyed, considering methods that rely on bitstream, pixels, or both.
Journal ArticleDOI
No-reference image and video quality assessment: a classification and review of recent approaches
TL;DR: A classification and review of latest published research work in the area of NR image and video quality assessment is presented and the NR methods of visual quality assessment considered for review are structured into categories and subcategories based on the types of methodologies used for the underlying processing employed for quality estimation.
Journal ArticleDOI
Additive White Gaussian Noise Level Estimation in SVD Domain for Images
TL;DR: A new effective noise level estimation method is proposed on the basis of the study of singular values of noise-corrupted images, which can reliably infer noise levels and show robust behavior over a wide range of visual content and noise conditions.
References
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