Deep learning in optical metrology: a review

C Zuo, J Qian, S Feng, W Yin, Y Li, P Fan… - Light: Science & …, 2022 - nature.com
With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …

Perceptual image quality assessment: a survey

G Zhai, X Min - Science China Information Sciences, 2020 - Springer
Perceptual quality assessment plays a vital role in the visual communication systems owing
to the existence of quality degradations introduced in various stages of visual signal …

PSNR vs SSIM: imperceptibility quality assessment for image steganography

DRIM Setiadi - Multimedia Tools and Applications, 2021 - Springer
Peak signal to noise ratio (PSNR) and structural index similarity (SSIM) are two measuring
tools that are widely used in image quality assessment. Especially in the steganography …

Image quality assessment: Unifying structure and texture similarity

K Ding, K Ma, S Wang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Objective measures of image quality generally operate by comparing pixels of a “degraded”
image to those of the original. Relative to human observers, these measures are overly …

No-reference image quality assessment via transformers, relative ranking, and self-consistency

SA Golestaneh, S Dadsetan… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract The goal of No-Reference Image Quality Assessment (NR-IQA) is to estimate the
perceptual image quality in accordance with subjective evaluations, it is a complex and …

Deep learning for image super-resolution: A survey

Z Wang, J Chen, SCH Hoi - IEEE transactions on pattern …, 2020 - ieeexplore.ieee.org
Image Super-Resolution (SR) is an important class of image processing techniqueso
enhance the resolution of images and videos in computer vision. Recent years have …

fastMRI: An open dataset and benchmarks for accelerated MRI

J Zbontar, F Knoll, A Sriram, T Murrell, Z Huang… - arXiv preprint arXiv …, 2018 - arxiv.org
Accelerating Magnetic Resonance Imaging (MRI) by taking fewer measurements has the
potential to reduce medical costs, minimize stress to patients and make MRI possible in …

Structural similarity index (SSIM) revisited: A data-driven approach

I Bakurov, M Buzzelli, R Schettini, M Castelli… - Expert Systems with …, 2022 - Elsevier
Several contemporaneous image processing and computer vision systems rely upon the full-
reference image quality assessment (IQA) measures. The single-scale structural similarity …

Pros and cons of gan evaluation measures

A Borji - Computer vision and image understanding, 2019 - Elsevier
Generative models, in particular generative adversarial networks (GANs), have gained
significant attention in recent years. A number of GAN variants have been proposed and …

Overview of deep learning-based CSI feedback in massive MIMO systems

J Guo, CK Wen, S Jin, GY Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Many performance gains achieved by massive multiple-input and multiple-output depend on
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …