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12,574 Results Found

  • Article
  • Open Access
14 Citations
3,676 Views
24 Pages

8 May 2020

According to the theory of compressive sensing, a single-pixel imaging system was built in our laboratory, and imaging scenes are successfully reconstructed by single-pixel imaging, but the quality of reconstructed images in traditional methods canno...

  • Article
  • Open Access
1,717 Views
31 Pages

Deformation Estimation of Textureless Objects from a Single Image

  • Sahand Eivazi Adli,
  • Joshua K. Pickard,
  • Ganyun Sun and
  • Rickey Dubay

20 July 2024

Deformations introduced during the production of plastic components degrade the accuracy of their 3D geometric information, a critical aspect of object inspection processes. This phenomenon is prevalent among primary plastic products from manufacture...

  • Article
  • Open Access
1 Citations
3,273 Views
17 Pages

Improving Single-Image Super-Resolution with Dilated Attention

  • Xinyu Zhang,
  • Boyuan Cheng,
  • Xiaosong Yang,
  • Zhidong Xiao,
  • Jianjun Zhang and
  • Lihua You

Single-image super-resolution (SISR) techniques have become a vital tool for improving image quality and clarity in the rapidly evolving field of digital imaging. Convolutional neural network (CNN) and transformer-based SISR techniques are very popul...

  • Review
  • Open Access
22 Citations
8,562 Views
30 Pages

Single-Image Super-Resolution Challenges: A Brief Review

  • Shutong Ye,
  • Shengyu Zhao,
  • Yaocong Hu and
  • Chao Xie

Single-image super-resolution (SISR) is an important task in image processing, aiming to achieve enhanced image resolution. With the development of deep learning, SISR based on convolutional neural networks has also gained great progress, but as the...

  • Article
  • Open Access
6 Citations
3,604 Views
9 Pages

Super-Resolution Image Reconstruction Based on Single-Molecule Localization Algorithm

  • Lixin Liu,
  • Meijie Qi,
  • Yujie Liu,
  • Xinzhu Xue,
  • Danni Chen and
  • Junle Qu

Fluorescence imaging is an important and efficient tool in cell biology and biomedical research. In order to observe the dynamics of biological macromolecules such as DNA, RNA and proteins in live cells, it is extremely necessary to surpass the Abbe...

  • Article
  • Open Access
5 Citations
3,327 Views
19 Pages

29 September 2024

Single-image dehazing is an ill-posed problem that has attracted a myriad of research efforts. However, virtually all methods proposed thus far assume that input images are already affected by haze. Little effort has been spent on autonomous single-i...

  • Article
  • Open Access
34 Citations
17,018 Views
17 Pages

Single Photon Counting Performance and Noise Analysis of CMOS SPAD-Based Image Sensors

  • Neale A. W. Dutton,
  • Istvan Gyongy,
  • Luca Parmesan and
  • Robert K. Henderson

20 July 2016

SPAD-based solid state CMOS image sensors utilising analogue integrators have attained deep sub-electron read noise (DSERN) permitting single photon counting (SPC) imaging. A new method is proposed to determine the read noise in DSERN image sensors b...

  • Article
  • Open Access
1,661 Views
19 Pages

15 June 2023

Single image super-resolution (SISR) aims to recover a high-resolution image from a single low-resolution image. In recent years, SISR methods based on deep convolutional neural networks have achieved remarkable success, and some methods further impr...

  • Article
  • Open Access
15 Citations
4,119 Views
13 Pages

Haze-Aware Attention Network for Single-Image Dehazing

  • Lihan Tong,
  • Yun Liu,
  • Weijia Li,
  • Liyuan Chen and
  • Erkang Chen

21 June 2024

Single-image dehazing is a pivotal challenge in computer vision that seeks to remove haze from images and restore clean background details. Recognizing the limitations of traditional physical model-based methods and the inefficiencies of current atte...

  • Communication
  • Open Access
3 Citations
2,841 Views
9 Pages

28 November 2022

Remote sensing is increasingly recognized as a convenient tool with a wide variety of uses in agriculture. Landsat-7 has supplied multi-spectral imagery of the Earth’s surface for more than 4 years and has become an important data source for a...

  • Article
  • Open Access
2 Citations
3,549 Views
11 Pages

Heavy Ion Single Event Effects in CMOS Image Sensors: SET and SEU

  • Zhikang Yang,
  • Lin Wen,
  • Yudong Li,
  • Jie Feng,
  • Dong Zhou,
  • Bingkai Liu,
  • Zitao Zhao and
  • Qi Guo

High-energy particles in space often induce single event effects in CMOS image sensors, resulting in performance degradation and functional failure. This paper focuses on the formation and morphology of transient bright spots in CMOS image sensors an...

  • Article
  • Open Access
425 Views
15 Pages

Coaxial Single-Pixel Imaging for Shadow Reduction Without Image Post-Processing

  • Xicheng Gao,
  • Qingtian Guan,
  • Mingwei Qian,
  • Shuyuan Gao,
  • Mengchao Ma,
  • Xiang Zhong,
  • Xinglong Gong,
  • Huaxia Deng and
  • Yi Zhang

8 December 2025

Single-pixel imaging (SPI), generally based on computational imaging, has the advantages of a wide bandwidth and imaging objects beyond the visual field. However, for general SPI, to obtain a picture with few shadows by one photodetector is a great c...

  • Article
  • Open Access
2 Citations
2,442 Views
16 Pages

23 February 2023

The dynamic range of an X-ray digital imaging system is very important when detecting objects with a high absorption ratio. In this paper, a ray source filter is used to filter the low-energy ray components which have no penetrating power to the high...

  • Article
  • Open Access
9 Citations
3,465 Views
13 Pages

Image Reconstruction Using Autofocus in Single-Lens System

  • Xuyang Zhou,
  • Xiu Wen,
  • Yu Ji,
  • Yutong Li,
  • Shutian Liu and
  • Zhengjun Liu

27 January 2022

To reconstruct the wavefront in a single-lens coherent diffraction imaging (CDI) system, we propose a closed-loop cascaded iterative engine (CIE) algorithm based on the known information of the imaging planes. The precision of diffraction distance is...

  • Article
  • Open Access
10 Citations
4,308 Views
17 Pages

Unsupervised Single-Image Super-Resolution with Multi-Gram Loss

  • Yong Shi,
  • Biao Li,
  • Bo Wang,
  • Zhiquan Qi and
  • Jiabin Liu

Recently, supervised deep super-resolution (SR) networks have achieved great success in both accuracy and texture generation. However, most methods train in the dataset with a fixed kernel (such as bicubic) between high-resolution images and their lo...

  • Article
  • Open Access
2 Citations
2,115 Views
15 Pages

11 November 2023

In recent years, numerous single-image dehazing algorithms have made significant progress; however, dehazing still presents a challenge, particularly in complex real-world scenarios. In fact, single-image dehazing is an inherently ill-posed problem,...

  • Article
  • Open Access
16 Citations
4,456 Views
20 Pages

Single-Pixel Near-Infrared 3D Image Reconstruction in Outdoor Conditions

  • C. Osorio Quero,
  • D. Durini,
  • J. Rangel-Magdaleno,
  • J. Martinez-Carranza and
  • R. Ramos-Garcia

In the last decade, the vision systems have improved their capabilities to capture 3D images in bad weather scenarios. Currently, there exist several techniques for image acquisition in foggy or rainy scenarios that use infrared (IR) sensors. Due to...

  • Article
  • Open Access
3 Citations
3,796 Views
21 Pages

6 November 2024

Existing camera calibration methods using a single image have exhibited some limitations. These limitations include relying on large datasets, using inconveniently prepared calibration objects instead of commonly used planar patterns such as checkerb...

  • Article
  • Open Access
12 Citations
4,379 Views
19 Pages

Single-pixel imaging (SPI) is a promising imaging scheme based on compressive sensing. However, its application in high-resolution and real-time scenarios is a great challenge due to the long sampling and reconstruction required. The Deep Learning Co...

  • Article
  • Open Access
1 Citations
1,092 Views
16 Pages

A Hybrid Content-Aware Network for Single Image Deraining

  • Guoqiang Chai,
  • Rui Yang,
  • Jin Ge and
  • Yulei Chen

Rain streaks degrade the quality of optical images and seriously affect the effectiveness of subsequent vision-based algorithms. Although the applications of a convolutional neural network (CNN) and self-attention mechanism (SA) in single image derai...

  • Article
  • Open Access
29 Citations
4,473 Views
28 Pages

CoSinGAN: Learning COVID-19 Infection Segmentation from a Single Radiological Image

  • Pengyi Zhang,
  • Yunxin Zhong,
  • Yulin Deng,
  • Xiaoying Tang and
  • Xiaoqiong Li

3 November 2020

Computed tomography (CT) images are currently being adopted as the visual evidence for COVID-19 diagnosis in clinical practice. Automated detection of COVID-19 infection from CT images based on deep models is important for faster examination. Unfortu...

  • Article
  • Open Access
11 Citations
7,745 Views
20 Pages

Single Image Super Resolution Using Deep Residual Learning

  • Moiz Hassan,
  • Kandasamy Illanko and
  • Xavier N. Fernando

21 March 2024

Single Image Super Resolution (SSIR) is an intriguing research topic in computer vision where the goal is to create high-resolution images from low-resolution ones using innovative techniques. SSIR has numerous applications in fields such as medical/...

  • Article
  • Open Access
4 Citations
8,586 Views
17 Pages

13 October 2019

Depth estimation is a crucial and fundamental problem in the computer vision field. Conventional methods re-construct scenes using feature points extracted from multiple images; however, these approaches require multiple images and thus are not easil...

  • Review
  • Open Access
2,802 Views
43 Pages

Comprehensive Review of Deep Learning Approaches for Single-Image Super-Resolution

  • Zirun Liu,
  • Shijie Jiang,
  • Shuhan Feng,
  • Qirui Song and
  • Ji Zhang

16 September 2025

Single-image super-resolution (SISR) is a core challenge in the field of image processing, aiming to overcome the physical limitations of imaging systems and improve their resolution. This article systematically introduces the SISR method based on de...

  • Article
  • Open Access
2 Citations
2,751 Views
13 Pages

13 June 2021

We performed a comparative study on the Gaussian noise and memristance variation tolerance of three crossbar architectures, namely the complementary crossbar architecture, the twin crossbar architecture, and the single crossbar architecture, for neur...

  • Article
  • Open Access
42 Citations
11,039 Views
16 Pages

High Dynamic Range Imaging at the Quantum Limit with Single Photon Avalanche Diode-Based Image Sensors

  • Neale A.W. Dutton,
  • Tarek Al Abbas,
  • Istvan Gyongy,
  • Francescopaolo Mattioli Della Rocca and
  • Robert K. Henderson

11 April 2018

This paper examines methods to best exploit the High Dynamic Range (HDR) of the single photon avalanche diode (SPAD) in a high fill-factor HDR photon counting pixel that is scalable to megapixel arrays. The proposed method combines multi-exposure HDR...

  • Article
  • Open Access
5 Citations
2,928 Views
16 Pages

18 January 2024

Forest scene 3D reconstruction serves as the fundamental basis for crucial applications such as forest resource inventory, forestry 3D visualization, and the perceptual capabilities of intelligent forestry robots in operational environments. However,...

  • Article
  • Open Access
1 Citations
3,000 Views
14 Pages

Enhanced Multi-Scale Attention-Driven 3D Human Reconstruction from Single Image

  • Yong Ren,
  • Mingquan Zhou,
  • Pengbo Zhou,
  • Shibo Wang,
  • Yangyang Liu,
  • Guohua Geng,
  • Kang Li and
  • Xin Cao

30 October 2024

Due to the inherent limitations of a single viewpoint, reconstructing 3D human meshes from a single image has long been a challenging task. While deep learning networks enable us to approximate the shape of unseen sides, capturing the texture details...

  • Article
  • Open Access
8 Citations
4,936 Views
18 Pages

High Level 3D Structure Extraction from a Single Image Using a CNN-Based Approach

  • J. A. de Jesús Osuna-Coutiño and
  • Jose Martinez-Carranza

29 January 2019

High-Level Structure (HLS) extraction in a set of images consists of recognizing 3D elements with useful information to the user or application. There are several approaches to HLS extraction. However, most of these approaches are based on processing...

  • Article
  • Open Access
13 Citations
3,745 Views
14 Pages

The Design and Preclinical Evaluation of a Single-Label Bimodal Nanobody Tracer for Image-Guided Surgery

  • Pieterjan Debie,
  • Noemi B. Declerck,
  • Danny van Willigen,
  • Celine M. Huygen,
  • Bieke De Sloovere,
  • Lukasz Mateusiak,
  • Jessica Bridoux,
  • Janik Puttemans,
  • Nick Devoogdt and
  • Sophie Hernot
  • + 1 author

26 February 2021

Intraoperative guidance using targeted fluorescent tracers can potentially provide surgeons with real-time feedback on the presence of tumor tissue in resection margins. To overcome the limited depth penetration of fluorescent light, combining fluore...

  • Article
  • Open Access
15 Citations
3,100 Views
14 Pages

In recent years, neural networks for single image super-resolution (SISR) have applied more profound and deeper network structures to extract extra image details, which brings difficulties in model training. To deal with deep model training problems,...

  • Article
  • Open Access
248 Views
25 Pages

SIDe-HBIM: Single-Image Depth Inference as a Tool for Semi-Automatic Decorative Modeling

  • Fabio Bianconi,
  • Marco Filippucci,
  • Claudia Cerbai,
  • Filippo Cornacchini and
  • Andrea Migliosi

11 February 2026

This paper introduces SIDe-HBIM (Single-Image Depth inference for HBIM), a semi-automated image-to-BIM pipeline aimed at improving the integration of architectural decorative elements into HBIM environments. The research addresses the difficulty of r...

  • Article
  • Open Access
16 Citations
7,855 Views
14 Pages

RealPoint3D: Generating 3D Point Clouds from a Single Image of Complex Scenarios

  • Yan Xia,
  • Cheng Wang,
  • Yusheng Xu,
  • Yu Zang,
  • Weiquan Liu,
  • Jonathan Li and
  • Uwe Stilla

13 November 2019

Generating 3D point clouds from a single image has attracted full attention from researchers in the field of multimedia, remote sensing and computer vision. With the recent proliferation of deep learning, various deep models have been proposed for th...

  • Article
  • Open Access
11 Citations
3,868 Views
20 Pages

Residual Spatial and Channel Attention Networks for Single Image Dehazing

  • Xin Jiang,
  • Chunlei Zhao,
  • Ming Zhu,
  • Zhicheng Hao and
  • Wen Gao

27 November 2021

Single image dehazing is a highly challenging ill-posed problem. Existing methods including both prior-based and learning-based heavily rely on the conceptual simplified atmospheric scattering model by estimating the so-called medium transmission map...

  • Article
  • Open Access
169 Citations
12,609 Views
13 Pages

16 June 2018

Benchmark datasets are essential for developing and evaluating remote sensing image retrieval (RSIR) approaches. However, most of the existing datasets are single-labeled, with each image in these datasets being annotated by a single label representi...

  • Case Report
  • Open Access
11 Citations
7,319 Views
17 Pages

Historical Single Image-Based Modeling: The Case of Gobierna Tower, Zamora (Spain)

  • Jesús Garcia-Gago,
  • Javier Gomez-Lahoz,
  • Javier Rodríguez-Méndez and
  • Diego González-Aguilera

27 January 2014

Historical perspective images have been proved to be very useful to properly provide a dimensional analysis of buildings façades or even to generate a pseudo-3D reconstruction based on rectified images of the whole structure. In this paper, the case...

  • Article
  • Open Access
10 Citations
3,146 Views
21 Pages

Lightweight Single Image Super-Resolution with Selective Channel Processing Network

  • Hongyu Zhu,
  • Hao Tang,
  • Yaocong Hu,
  • Huanjie Tao and
  • Chao Xie

26 July 2022

With the development of deep learning, considerable progress has been made in image restoration. Notably, many state-of-the-art single image super-resolution (SR) methods have been proposed. However, most of them contain many parameters, which leads...

  • Article
  • Open Access
14 Citations
2,989 Views
28 Pages

13 April 2021

Image encryption is a confidential strategy to keep the information in digital images from being leaked. Due to excellent chaotic dynamic behavior, self-feedbacked Hopfield networks have been used to design image ciphers. However, Self-feedbacked Hop...

  • Article
  • Open Access
17 Citations
4,783 Views
10 Pages

3 January 2020

The super-resolution generative adversarial network (SRGAN) is a seminal work that is capable of generating realistic textures during single image super-resolution. However, the hallucinated details are often accompanied by unpleasant artifacts. To f...

  • Article
  • Open Access
3 Citations
2,818 Views
18 Pages

Blind Restoration of a Single Real Turbulence-Degraded Image Based on Self-Supervised Learning

  • Yiming Guo,
  • Xiaoqing Wu,
  • Chun Qing,
  • Liyong Liu,
  • Qike Yang,
  • Xiaodan Hu,
  • Xianmei Qian and
  • Shiyong Shao

18 August 2023

Turbulence-degraded image frames are distorted by both turbulent deformations and space–time varying blurs. Restoration of the atmospheric turbulence-degraded image is of great importance in the state of affairs, such as remoting sensing, surve...

  • Proceeding Paper
  • Open Access
1,546 Views
6 Pages

28 November 2023

The existing single image super-resolution (SISR) methods that consider integer scale factors (X2, X3, X4, and X8), have been developed well, but SISR methods with arbitrary scale factors (X1.3, X2.5, and X3.7) have gradually gained attention recentl...

  • Article
  • Open Access
13 Citations
8,269 Views
17 Pages

24 August 2012

The aim of the present work was to develop a method based on image analysis for describing soil detachment caused by the impact of a single water drop. The method consisted of recording tracks made by splashed particles on blotting paper under an opt...

  • Article
  • Open Access
5 Citations
2,030 Views
13 Pages

30 March 2024

Breast cancer has a high mortality rate among cancers. If the type of breast tumor can be correctly diagnosed at an early stage, the survival rate of the patients will be greatly improved. Considering the actual clinical needs, the classification mod...

  • Article
  • Open Access
2,597 Views
13 Pages

Single-pixel imaging (SPI) has attracted increasing attention in recent years because of its advantages in imaging systems. However, a low reconstruction quality and a long reconstruction time have hindered the development of SPI. Hence, in this stud...

  • Article
  • Open Access
3 Citations
3,038 Views
20 Pages

Single Remote Sensing Image Super-Resolution with an Adaptive Joint Constraint Model

  • Lingli Fu,
  • Chao Ren,
  • Xiaohai He,
  • Xiaohong Wu and
  • Zhengyong Wang

26 February 2020

Remote sensing images have been widely used in many applications. However, the resolution of the obtained remote sensing images may not meet the increasing demands for some applications. In general, the sparse representation-based super-resolution (S...

  • Article
  • Open Access
6 Citations
2,658 Views
13 Pages

2 July 2021

Under the existing single sample condition, the fatigue detection method of an automobile driver has some problems, such as an improper camera calibration method, image denoising beyond the controllable range, low fatigue detection accuracy, and unsa...

  • Article
  • Open Access
1 Citations
859 Views
25 Pages

2 July 2025

In remote sensing, object classification often suffers from severe degradation caused by atmospheric turbulence and low-signal conditions. Traditional image reconstruction approaches are computationally expensive and fragile under such conditions. In...

  • Feature Paper
  • Article
  • Open Access
1 Citations
3,261 Views
15 Pages

17 November 2020

Precise and quick measurement of samples’ flow velocities is essential for cell sorting timing control and reconstruction of acquired image-analyzed data. We developed a simple technique for the single-shot measurement of flow velocities of particles...

  • Article
  • Open Access
5 Citations
4,043 Views
21 Pages

Single Image Atmospheric Veil Removal Using New Priors for Better Genericity

  • Alexandra Duminil,
  • Jean-Philippe Tarel and
  • Roland Brémond

15 June 2021

From an analysis of the priors used in state-of-the-art algorithms for single image defogging, a new prior is proposed to obtain a better atmospheric veil removal. Our hypothesis is based on a physical model, considering that the fog appears denser n...

  • Article
  • Open Access
5 Citations
4,557 Views
15 Pages

Due to the requirement of video surveillance, machine learning-based single image deraining has become a research hotspot in recent years. In order to efficiently obtain rain removal images that contain more detailed information, this paper proposed...

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