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1.5T or 3T scanners are the current standard for clinical MRI, but low-field (<1T) scanners are still common in many lower- and middle-income countries for reasons of cost and robustness to power failures. Compared to modern high-field…

This paper explores the problem of reconstructing high-resolution light field (LF) images from hybrid lenses, including a high-resolution camera surrounded by multiple low-resolution cameras. The performance of existing methods is still…

Image and Video Processing · Electrical Eng. & Systems 2023-06-21 Jing Jin , Mantang Guo , Junhui Hou , Hui Liu , Hongkai Xiong

The signal to noise ratio (SNR) is one of the important measures for reducing the noise.A technique that uses a linear prediction error filter (LPEF) and an adaptive digital filter (ADF) to achieve noise reduction in a speech and image…

Networking and Internet Architecture · Computer Science 2011-10-12 R. Seshadri , N. Penchalaiah

In magnetic resonance imaging (MRI), the spectrometer is a fundamental component of MRI systems, responsible for the transmission of radiofrequency (RF) pulses that excite hydrogen nuclei and the subsequent acquisition of MR signals for…

Medical Physics · Physics 2024-09-16 Zesong Jiang , Muhang Zhang , Qing Zhang , Yuchong Xie

This paper explores the problem of reconstructing high-resolution light field (LF) images from hybrid lenses, including a high-resolution camera surrounded by multiple low-resolution cameras. To tackle this challenge, we propose a novel…

Computer Vision and Pattern Recognition · Computer Science 2020-08-04 Jing Jin , Junhui Hou , Jie Chen , Sam Kwong , Jingyi Yu

Fetal brain magnetic resonance imaging (MRI) offers exquisite images of the developing brain but is not suitable for second-trimester anomaly screening, for which ultrasound (US) is employed. Although expert sonographers are adept at…

Image and Video Processing · Electrical Eng. & Systems 2020-08-21 Jianbo Jiao , Ana I. L. Namburete , Aris T. Papageorghiou , J. Alison Noble

Neural Radiance Fields (NeRF) accomplishes photo-realistic novel view synthesis by learning the implicit volumetric representation of a scene from multi-view images, which faithfully convey the colorimetric information. However, sensor…

Computer Vision and Pattern Recognition · Computer Science 2024-03-22 Jiacong Xu , Mingqian Liao , K Ram Prabhakar , Vishal M. Patel

Fetal brain magnetic resonance imaging (MRI) offers exquisite images of the developing brain but is not suitable for anomaly screening. For this ultrasound (US) is employed. While expert sonographers are adept at reading US images, MR…

Computer Vision and Pattern Recognition · Computer Science 2019-09-19 Jianbo Jiao , Ana I. L. Namburete , Aris T. Papageorghiou , J. Alison Noble

Magnetic Resonance Imaging (MRI) is a noninvasive imaging technique that provides exquisite soft-tissue contrast without using ionizing radiation. The clinical application of MRI may be limited by long data acquisition times; therefore, MR…

Image and Video Processing · Electrical Eng. & Systems 2020-07-10 Shen Zhao , Lee C. Potter , Kiryung Lee , Rizwan Ahmad

Decreased visibility, intensive noise, and biased color are the common problems existing in low-light images. These visual disturbances further reduce the performance of high-level vision tasks, such as object detection, and tracking. To…

Computer Vision and Pattern Recognition · Computer Science 2023-06-30 Hao Chen , Zhi Jin

Neural radiance fields (NeRFs) have shown impressive results for novel view synthesis. However, they depend on the repetitive use of a single-input single-output multilayer perceptron (SISO MLP) that maps 3D coordinates and view direction…

Computer Vision and Pattern Recognition · Computer Science 2023-10-04 Takuhiro Kaneko

Multi contrast MRI synthesis is inherently challenging due to the complex and nonlinear relationships among different contrasts. Each MRI contrast highlights unique tissue properties, but their complementary information is difficult to…

Image and Video Processing · Electrical Eng. & Systems 2025-06-23 Sanuwani Dayarathna , Himashi Peiris , Kh Tohidul Islam , Tien-Tsin Wong , Zhaolin Chen

Neural Radiance Fields (NeRFs) have demonstrated prominent performance in novel view synthesis. However, their input heavily relies on image acquisition under normal light conditions, making it challenging to learn accurate scene…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Min Wang , Xin Huang , Guoqing Zhou , Qifeng Guo , Qing Wang

Low-light imaging with handheld mobile devices is a challenging issue. Limited by the existing models and training data, most existing methods cannot be effectively applied in real scenarios. In this paper, we propose a new low-light image…

Image and Video Processing · Electrical Eng. & Systems 2021-03-02 Meng Chang , Huajun Feng , Zhihai Xu , Qi Li

Neural Radiance Fields (NeRF) achieve high-quality novel-view synthesis, but their long training times and reliance on dense input views limit accessibility. We present a comparative study of three accelerated NeRF variants - DS-NeRF,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Alice Huang , Prathamesh Sonawane , Yashdeep Thorat , Yug Rao

With the introduction of consumer light field cameras, light field imaging has recently become widespread. However, there is an inherent trade-off between the angular and spatial resolution, and thus, these cameras often sparsely sample in…

Computer Vision and Pattern Recognition · Computer Science 2016-09-13 Nima Khademi Kalantari , Ting-Chun Wang , Ravi Ramamoorthi

Ultra-low-field (ULF) MRI is emerging as an alternative modality to high-field (HF) MRI due to its lower cost, minimal siting requirements, portability, and enhanced accessibility factors that enable large-scale deployment. Although ULF-MRI…

Magnetic fields associated with currents flowing in tissue can be measured non-invasively by means of zero-field-encoded ultra-low-field magnetic resonance imaging (ULF MRI) enabling current density imaging (CDI) and possibly conductivity…

Multi-focus noisy image fusion represents an important task in the field of image fusion which generates a single, clear and focused image from all source images. In this paper, we propose a novel multi-focus noisy image fusion method based…

Computer Vision and Pattern Recognition · Computer Science 2022-02-01 Hui Li , Xiao-Jun Wu , Tariq Durrani

Capturing high-resolution magnetic resonance (MR) images is a time consuming process, which makes it unsuitable for medical emergencies and pediatric patients. Low-resolution MR imaging, by contrast, is faster than its high-resolution…

Image and Video Processing · Electrical Eng. & Systems 2022-01-25 Sahar Almahfouz Nasser , Saqib Shamsi , Valay Bundele , Bhavesh Garg , Amit Sethi