Results 71 to 80 of about 18,250,440 (204)

Single image super resolution via neighbor reconstruction [PDF]

Pattern Recognition Letters, 2019
Super Resolution (SR) is a complex, ill-posed problem where the aim is to construct the mapping between the low and high resolution manifolds of image patches. Anchored neighborhood regression for SR (namely A+  [27]) has shown promising results. In this paper we present a new regression-based SR algorithm that overcomes the limitations of A+ and ...
Zhihong Zhang 0001, Chen Xu, Zhonghao Zhang, Guo Chen, Yide Cai, Zeli Wang, Heng Li 0001, Edwin R. Hancock   +7 more
openaire   +3 more sources

Extending resolution within a single imaging frame

Nature Communications, 2022
The presented Mean-Shift Super Resolution (MSSR) algorithm can extend spatial resolution within a single microscopy image. Its applicability extends across a wide range of experimental and instrumental configurations and it is compatible with other super-
Esley Torres-García, Raúl Pinto-Cámara, Alejandro Linares, Damián Martínez, Víctor Abonza, Eduardo Brito-Alarcón, Carlos Calcines-Cruz, Gustavo Valdés-Galindo, David Torres, Martina Jabloñski, Héctor H. Torres-Martínez, José L. Martínez, Haydee O. Hernández, José P. Ocelotl-Oviedo, Yasel Garcés, Marco Barchi, Rocco D’Antuono, Ana Bošković, Joseph G. Dubrovsky, Alberto Darszon, Mariano G. Buffone, Roberto Rodríguez Morales, Juan Manuel Rendon-Mancha, Christopher D. Wood, Armando Hernández-García, Diego Krapf, Álvaro H. Crevenna, Adán Guerrero   +27 more
doaj   +1 more source

XTNSR: Xception-based transformer network for single image super resolution

Complex & Intelligent Systems
Single image super resolution has significantly advanced by utilizing transformers-based deep learning algorithms. However, challenges still need to be addressed in handling grid-like image patches with higher computational demands and addressing issues ...
Jagrati Talreja, Supavadee Aramvith, Takao Onoye   +2 more
doaj   +1 more source

Single image super-resolution method based on linear regression and box-cox transformation [PDF]

, 2018
Image super-resolution is an essential operation in digital image processing and aims at recovering a high-resolution image from one or more low-resolution input images.
Oliveira, Nícholas André Pinho de
core  

Single-Image Super-Resolution Using Multihypothesis Prediction [PDF]

, 2012
-Single-image super-resolution driven by multihypothesis prediction is considered. The proposed strategy exploits self-similarities existing between image patches within a single image. Specifically, each patch of a low-resolution image is represented as
Chen Chen, James E Fowler
core  

Multi-Scale Residual Hierarchical Dense Networks for Single Image Super-Resolution

IEEE Access, 2019
Single image super-resolution is known to be an ill-posed problem, which has been studied for decades. With the developments of deep convolutional neural networks, the CNN-based single image super-resolution methods have greatly improved the quality of ...
Chuangchuang Liu, Xianfang Sun, Changyou Chen, Paul L. Rosin, Yitong Yan, Longcun Jin, Xinyi Peng   +6 more
doaj   +1 more source

Guided Dual Networks for Single Image Super-Resolution

IEEE Access, 2020
The PSNR-oriented super-resolution (SR) methods pursue high reconstruction accuracy, but tend to produce over-smoothed results and lose plenty of high-frequency details.
Wenhui Chen, Chuangchuang Liu, Yitong Yan, Longcun Jin, Xianfang Sun, Xinyi Peng   +5 more
doaj   +1 more source

Adaptive Markov Random Fields for Example-Based Super-resolution of Faces

EURASIP Journal on Advances in Signal Processing, 2006
Image enhancement of low-resolution images can be done through methods such as interpolation, super-resolution using multiple video frames, and example-based super-resolution.
Stephenson Todd A, Chen Tsuhan
doaj   +1 more source

Single Image Super Resolution: Edge Based Techniques [PDF]

, 2017
Super-resolution image reconstruction provides an effective way to increase image resolution from a single or multiple low resolution images. There exists various single image super-resolution based on different assumptions, amongst which edge adaptive ...
Shejwal, Sonali, Hadke, V. K., Deode, R. K.   +2 more
core  

Super-resolution image reconstruction from low-resolution images [PDF]

, 2012
Strathclyde theses - ask staff. Thesis no. : T13127The thesis addresses the problem of obtaining high-resolution image from a set of one or more low-resolution images. The thesis focused on three building blocks of super-resolution algorithms i.e., image
Nasir, Haidawati Mohamad
core   +2 more sources