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- 저자 : Junrui Luo (검색결과 3 건)
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Image Denoising via Fast and Fuzzy Non-local Means Algorithm
Junrui Lv,Xuegang Luo 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.5
Non-local means (NLM) algorithm is an effective and successful denoising method, but it is computationallyheavy. To deal with this obstacle, we propose a novel NLM algorithm with fuzzy metric (FM-NLM) for imagedenoising in this paper. A new feature metric of visual features with fuzzy metric is utilized to measure thesimilarity between image pixels in the presence of Gaussian noise. Similarity measures of luminance andstructure information are calculated using a fuzzy metric. A smooth kernel is constructed with the proposedfuzzy metric instead of the Gaussian weighted L2 norm kernel. The fuzzy metric and smooth kernelcomputationally simplify the NLM algorithm and avoid the filter parameters. Meanwhile, the proposed FMNLMusing visual structure preferably preserves the original undistorted image structures. The performance ofthe improved method is visually and quantitatively comparable with or better than that of the current state-ofthe-art NLM-based denoising algorithms.
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Image Denoising via Fast and Fuzzy Non-local Means Algorithm
Lv, Junrui,Luo, Xuegang Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.5
Non-local means (NLM) algorithm is an effective and successful denoising method, but it is computationally heavy. To deal with this obstacle, we propose a novel NLM algorithm with fuzzy metric (FM-NLM) for image denoising in this paper. A new feature metric of visual features with fuzzy metric is utilized to measure the similarity between image pixels in the presence of Gaussian noise. Similarity measures of luminance and structure information are calculated using a fuzzy metric. A smooth kernel is constructed with the proposed fuzzy metric instead of the Gaussian weighted L2 norm kernel. The fuzzy metric and smooth kernel computationally simplify the NLM algorithm and avoid the filter parameters. Meanwhile, the proposed FM-NLM using visual structure preferably preserves the original undistorted image structures. The performance of the improved method is visually and quantitatively comparable with or better than that of the current state-of-the-art NLM-based denoising algorithms.
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Kuijing Song,Xinquan Liu,Yukai Ji,Yong Wei,Junrui Luo,Fei Liu,Dashuang Liu,Zhihong Zhong 대한금속·재료학회 2023 METALS AND MATERIALS International Vol.29 No.4
Aluminum/magnesium (Al/Mg) alloys have good metallurgical compatibility as well as similar melting and recrystallizationtemperatures. Therefore, the formation of deleterious IMCs is considered as a major problem in dissimilar Al/Mgalloys joining. In this paper, the metallurgical reaction behavior and atomic diffusion in Al/Mg solid state joining interfaceare studied. Based on the thermodynamic, kinetic and crystallographic characteristics of ordered phase transformation andatomic diffusion database, a phase field calculation framework of the polycrystalline β–Al3Mg2 and γ–Al12Mg17 evolutionis developed. Diffusivity, D and interface mobility, M, which significant kinetic parameters are defined as alloy compositionsand joining conditions dependent. By a series of simulation, it is proved the simulated interdiffusion microstructuralcharacteristics and element distribution across the joining interface are in coincidence with the corresponding experimentaldata. The thermally activated IMC evolution in diffusion bonding is in thermodynamic equilibrium, while accelerated IMCevolution in friction stir welding results from thermomechanically activated D and M. The present study contributes to theunderstanding of interfacial microstructures evolution in solid state joining of dissimilar alloys.
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