基于BM3D和压缩感知的超分辨率重建。

IF 1.5 4区 工程技术 Q3 MICROSCOPY
Microscopy Pub Date : 2022-06-16 DOI:10.1093/jmicro/dfac029
Cheng Tao, Dongdong Jia
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引用次数: 0

摘要

在超分辨率显微镜领域发表的各种论文中,很少报道基于块匹配和三维滤波(BM3D)的原始图像去噪。研究了不同尺寸块体的BM3D。去噪能力与块大小有关。块越大,去噪效果越好。当块大小大于40时,可以获得良好的去噪效果。去噪对超分辨率重建效果和重建时间有很大影响。去噪后可以获得更好的超分辨率重建和更短的重建时间。使用压缩传感,超分辨率重建只需要20张原始图像。时间分辨率不到半秒。空间分辨率也大大提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Super-Resolution Reconstruction Based on BM3D and Compressed Sensing.
In the various papers published in the field of super-resolution microscopy, denoising of raw images based on Block-matching and 3D filtering (BM3D) was rarely reported. BM3D for blocks of different sizes was studied. The denoising ability is related to block sizes. The larger the block is, the better the denoising effect is. When the block size is bigger than 40, the good denoising effect can be achieved. Denoising has great influence on the super-resolution reconstruction effect and the reconstruction time. Better super-resolution reconstruction and shorter reconstruction time can be achieved after denoising. Using compressed sensing, only 20 raw images are needed for super-resolution reconstruction. The temporal resolution is less than half a second. The spatial resolution is also greatly improved.
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来源期刊
Microscopy
Microscopy Physics and Astronomy-Instrumentation
CiteScore
3.30
自引率
11.10%
发文量
76
期刊介绍: Microscopy, previously Journal of Electron Microscopy, promotes research combined with any type of microscopy techniques, applied in life and material sciences. Microscopy is the official journal of the Japanese Society of Microscopy.
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