Results 101 to 110 of about 2,512,732 (195)

Assessing the Impact of Image Resolution on Deep Learning for TB Lesion Segmentation on Frontal Chest X-rays. [PDF]

Diagnostics (Basel), 2023
Rajaraman S, Yang F, Zamzmi G, Xue Z, Antani S.   +4 more
europepmc   +1 more source

The effect of image resolution of display types on accommodative microfluctuations. [PDF]

Ophthalmic Physiol Opt, 2022
Hynes NJ, Cufflin MP, Hampson KM, Mallen EA.   +3 more
europepmc   +1 more source

Improving the brain image resolution of generalized q-sampling MRI revealed by a three-dimensional CNN-based method. [PDF]

Front Neuroinform, 2023
Shin CY, Chao YP, Kuo LW, Chang YE, Weng JC.   +4 more
europepmc   +1 more source

A joint image super‐resolution network for multiple degradations removal via complementary transformer and convolutional neural network

IET Image Processing
While recent years have witnessed the unprecedented success of deep convolutional neural networks (CNNs) and vision transformers in single‐image super‐resolution (SISR), the degradation assumptions are simple and usually bicubic downsampling. Thus, their
Guoping Li, Zhenting Zhou, Guozhong Wang
doaj   +1 more source

Topology Optimization-Based Localized Bone Microstructure Reconstruction for Image Resolution Enhancement: Accuracy and Efficiency. [PDF]

Bioengineering (Basel), 2022
Kim J, Kim JJ.
europepmc   +1 more source

Continuum finite element analysis generalizes<i>in vivo</i>trabecular bone microstructural strength measures between two CT scanners with different image resolution. [PDF]

Biomed Phys Eng Express, 2023
Guha I, Zhang X, Nadeem SA, Levy SM, Saha PK.   +4 more
europepmc   +1 more source

Improvement of image resolution by combining enhanced confocal microscopy and quantum dot triexciton imaging. [PDF]

FEBS Open Bio, 2021
Hennig S, Manstein DJ.
europepmc   +1 more source

Simultaneous single image super‐resolution and blind Gaussian denoising via slim ghost full‐frequency residual blocks

IET Image Processing
Given that super‐resolution (SR) aims to recover lost information, and low‐resolution (LR) images in real‐world conditions might be corrupted with multiple degradations, considering basic bicubic down‐sampling as the sole degradation significantly limits
Saghar Farhangfar, Aryaz Baradarani, Mohammad Asadpour, Mohammad Ali Balafar, Roman Gr. Maev   +4 more
doaj   +1 more source

The impact of image resolution on power, bias, and confounding: A simulation study of ambient light at night exposure. [PDF]

Environ Epidemiol, 2021
McIsaac MA, Sanders E, Kuester T, Aronson KJ, Kyba CCM.   +4 more
europepmc   +1 more source

Super-Resolution Imaging

, 2019
This chapter examines multiframe image super-resolution in a probabilistic framework. Many multiframe super-resolution algorithms begin by a point estimate of the unknown latent parameters, such as those describing the motion or the blur function. The focus of this chapter is on alternatives to this practice that can yield superior super-resolution ...
Pickup, L, Roberts, S, Zisserman, A, Capel, D   +3 more
openaire   +1 more source