Αποτελέσματα Αναζήτησης
12 Δεκ 2019 · Non-local TV methods constitute an alternative, but their computational cost is huge. To overcome these issues, we propose an image denoising method named non-local patch graph total variation (NPGTV).
Here, we introduce an analog diffractive image denoiser to all-optically and non-iteratively clean various forms of noise and artifacts from input images implemented at the speed of light ...
16 Αυγ 2018 · This study presents an improved non-local total variation (NLTV) model by using the block-matching and three-dimensional filtering (BM3D) algorithm for image denoising.
1 Μαρ 2014 · In this paper, based on the perturbed ROF model, we have investigated a nonlocal TV regularization scheme for overcoming the staircase artifact in image denoising. Combining with the state-of-the-art split Bregman method, we propose a highly efficient numerical algorithm to obtain its optimal solution.
Using the basic estimate instead of the noisy image allows to improve the grouping by block-matching. Using the basic estimate as the pilot signal for the empirical Wiener filtering is much more effective and accurate than the simple hard-thresholding.
4 Φεβ 2024 · Our results show that these diffractive denoisers can efficiently remove salt and pepper noise and image rendering-related spatial artifacts from input phase or intensity images while achieving...
the sophisticated algorithms such as non-local means or VBM3D algorithms are compared to these basic approaches. In the last couple of years, machine learning approaches have been used for video denoising, as in many other research areas. One of them is given in [7]. In this article, the authors show that their algorithm based on deep neural
