Results 51 to 60 of about 3,652,577 (286)
Transformer for Single Image Super-Resolution [PDF]
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 Single image super-resolution (SISR) has witnessed great strides with the development of deep learning. However, most existing studies focus on building more complex networks with a massive number of layers.
Zhisheng Lu +5 more
semanticscholar +1 more source
eLifeCargo traffic through the Golgi apparatus is mediated by cisternal maturation, but it remains largely unclear how the cis-cisternae, the earliest Golgi sub-compartment, is generated and how the Golgi matures into the trans-Golgi network (TGN).
Takuro Tojima +4 more
doaj +1 more source
Reference Based Face Super-Resolution
IEEE Access, 2019 Despite the great progress of image super-resolution in recent years, face super-resolution has still much room to explore good visual quality while preserving original facial attributes for larger up-scaling factors.
Zhi-Song Liu, Wan-Chi Siu, Yui-Lam Chan
doaj +1 more source
Deeply-Recursive Convolutional Network for Image Super-Resolution [PDF]
Computer Vision and Pattern Recognition, 2015 We propose an image super-resolution method (SR) using a deeply-recursive convolutional network (DRCN). Our network has a very deep recursive layer (up to 16 recursions).
Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee
semanticscholar +1 more source
Super resolution for root imaging
Applications in Plant Sciences, 2020 Premise High‐resolution cameras are very helpful for plant phenotyping as their images enable tasks such as target vs. background discrimination and the measurement and analysis of fine above‐ground plant attributes.
Jose F. Ruiz‐Munoz +4 more
doaj +1 more source
FRESH – FRI-based single-image super-resolution algorithm [PDF]
, 2016 In this paper, we consider the problem of single image super-resolution and propose a novel algorithm that outperforms state-of-the-art methods without the need of learning patches pairs from external data sets.
Dragotti, P, Wei, X
core +1 more source
IEEE Access, 2021 Medical video is important for medical diagnosis. However, due to the influence of the network bandwidth and hardware equipment, some medical videos have low resolution, which is not conducive for diagnosing early diseases with small lesions.
Sheng Ren +3 more
doaj +1 more source
Light Field Super-Resolution Via Graph-Based Regularization
, 2017 Light field cameras capture the 3D information in a scene with a single exposure. This special feature makes light field cameras very appealing for a variety of applications: from post-capture refocus, to depth estimation and image-based rendering ...
Frossard, Pascal, Rossi, Mattia
core +1 more source
Structured illumination lensless digital holographic microscopy (SI-LDHM)
Frontiers in PhysicsIn this work, we propose a structured-illumination lensless digital holographic microscopy (SI-LDHM). SI-LDHM illuminates a sample with 24 structured illuminations (8 orientations × 3 phase shifts) and records the defocused interferogram formed by two ...
Juanjuan Zheng +23 more
doaj +1 more source
Deep Neural Network for Image Super Resolution Driven by Prior Denoising
Nantong Daxue xuebao. Ziran kexue ban, 2021 In order to improve image super resolution, a double layer convolution neural network in image denoising is embedded in image restoration tasks. The image super resolution method driven by prior denoising with deep neural network is proposed.
CHENG Fanqiang;ZHU Yonggui;, ZHU Yonggui
doaj +1 more source