Choice of the parameter for BM3D denoising algorithm using no-reference metric
N Mamaev, D Yurin, A Krylov - 2018 7th European Workshop …, 2018 - ieeexplore.ieee.org
An automatic multiscale algorithm for Block-matching and 3D filtering (BM3D) method de
noising parameter selection has been proposed. To optimize the filtering parameter the …
noising parameter selection has been proposed. To optimize the filtering parameter the …
Research on detection and recognition system of oil and gas pipeline weld seam based on machine vision technology
L Zhang, D Zhou, L Liu, X Liu, T Yuan… - … on Computer Vision …, 2023 - spiedigitallibrary.org
As the construction of oil and gas pipelines continues to advance, the safety of pipelines has
garnered increasing attention. Pipeline welds represent a crucial factor in ensuring the safe …
garnered increasing attention. Pipeline welds represent a crucial factor in ensuring the safe …
Post-filtering of lossy compressed noisy images and its efficiency prediction
The object of the study is the process of lossy compression of noisy images and their post-
filtering. The subject of the study is the approach to efficient two-stage processing …
filtering. The subject of the study is the approach to efficient two-stage processing …
CNN-based real-time parameter tuning for optimizing denoising filter performance
We propose a novel direction to improve the denoising quality of filtering-based denoising
algorithms in real time by predicting the best filter parameter value using a Convolutional …
algorithms in real time by predicting the best filter parameter value using a Convolutional …
CAD Framework of Tourism Cultural and Creative Products Based on Visual Quality Evaluation and Texture Recognition
Y Jiang - 2020 4th International Conference on Electronics …, 2020 - ieeexplore.ieee.org
This paper, we proposed the research work has designed the CAD framework for tourism
cultural and creative products based on visual quality evaluation and texture recognition …
cultural and creative products based on visual quality evaluation and texture recognition …