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Found 4 papers, 0 papers with code
Learning-based Noise Component Map Estimation for Image Denoising
Comparison with the ideal case, when denoising is applied using ground-truth sigma-map, shows that a difference of corresponding PSNR values for most of noise levels is within 0. 1-0. 2 dB and does not exceeds 0. 6 dB.
Blind estimation of white Gaussian noise variance in highly textured images
In the paper, a new method of blind estimation of noise variance in a single highly textured image is proposed.
Statistical evaluation of visual quality metrics for image denoising
After carrying out a perceptual quality assessment of distorted images, the mean opinion scores (MOS) are obtained and compared with the values of known full reference quality metrics.
Complex-valued image denosing based on group-wise complex-domain sparsity
Phase imaging and wavefront reconstruction from noisy observations of complex exponent is a topic of this paper.
