Image denoising review: From classical to state-of-the-art approaches

B Goyal, A Dogra, S Agrawal, BS Sohi, A Sharma - Information fusion, 2020 - Elsevier
At the crossing of the statistical and functional analysis, there exists a relentless quest for an
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …

Architecture of the mouse brain synaptome

F Zhu, M Cizeron, Z Qiu, R Benavides-Piccione… - Neuron, 2018 - cell.com
Synapses are found in vast numbers in the brain and contain complex proteomes. We
developed genetic labeling and imaging methods to examine synaptic proteins in individual …

Image denoising using nonsubsampled shearlet transform and twin support vector machines

HY Yang, XY Wang, PP Niu, YC Liu - Neural networks, 2014 - Elsevier
Denoising of images is one of the most basic tasks of image processing. It is a challenging
work to design a edge/texture-preserving image denoising scheme. Nonsubsampled …

Estimation of the number of synapses in the hippocampus and brain-wide by volume electron microscopy and genetic labeling

A Santuy, L Tomás-Roca, JR Rodríguez… - Scientific Reports, 2020 - nature.com
Determining the number of synapses that are present in different brain regions is crucial to
understand brain connectivity as a whole. Membrane-associated guanylate kinases …

A single‐synapse resolution survey of PSD95‐positive synapses in twenty human brain regions

OE Curran, Z Qiu, C Smith… - European Journal of …, 2021 - Wiley Online Library
Map** the molecular composition of individual excitatory synapses across the mouse
brain reveals high synapse diversity with each brain region showing a distinct composition …

A novel generic dictionary-based denoising method for improving noisy and densely packed nuclei segmentation in 3D time-lapse fluorescence microscopy images

L Nasser, T Boudier - Scientific reports, 2019 - nature.com
Time-lapse fluorescence microscopy is an essential technique for quantifying various
characteristics of cellular processes, ie cell survival, migration, and differentiation. To …

An efficient remote sensing image denoising method in extended discrete shearlet domain

XY Wang, YC Liu, HY Yang - Journal of Mathematical Imaging and Vision, 2014 - Springer
Denoising of images is one of the most basic tasks of image processing. It is a challenging
work to design a edge-preserving image denoising scheme. Extended discrete Shearlet …

Synaptome architecture shapes regional dynamics in the mouse brain

JY Hansen, AI Luppi, Z Qiu, S Gini, BD Fulcher, A Gozzi… - bioRxiv, 2025 - biorxiv.org
Synapses are the connections that transform neurons from simple electrically charged cells
into complex circuits that support perception, cognition and action. Recent advances in …

Translation Microscopy (TRAM) for super-resolution imaging

Z Qiu, RS Wilson, Y Liu, AR Dun, RS Saleeb, D Liu… - Scientific Reports, 2016 - nature.com
Super-resolution microscopy is transforming our understanding of biology but accessibility is
limited by its technical complexity, high costs and the requirement for bespoke sample …

[图书][B] 具有雜訊穩健性的改進式邊緣及脊偵測演算法和雙邊濾波器

黃品文, 丁建均 - 2024 - tdr.lib.ntu.edu.tw
在論文的前半部分中, 我們先整理了包含邊緣偵測的三個領域的內容, 並簡單介紹了該領域歷年
來的發展, 以及對該領域內不同的方法按照類別做了總整理. 其中也包含了領域中一些方法的 …