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Gradient Image Super-resolution for Low-resolution Image Recognition

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
In visual object recognition problems essential to surveillance and navigation problems in a variety of military and civilian use cases, low-resolution and low-quality images present great challenges to this problem. Recent advancements in deep learning based methods like EDSR/VDSR have boosted pixel domain image super-resolution (SR) performances ...
Dewan Fahim Noor   +4 more
openaire   +1 more source

Super-Resolution Image Restoration from Blurred Low-Resolution Images

Journal of Mathematical Imaging and Vision, 2005
In this paper, we study the problem of reconstructing a high-resolution image from several blurred low-resolution image frames. The image frames consist of decimated, blurred and noisy versions of the high-resolution image. The high-resolution image is modeled as a Markov random field (MRF), and a maximum a posteriori (MAP) estimation technique is used
Michael K. Ng, Andy C. Yau
openaire   +1 more source

Generation of high resolution images from low resolution images

NSIP 2005. Abstracts. IEEE-Eurasip Nonlinear Signal and Image Processing, 2005., 2005
Summary form only given. It is known that some image enlarging methods work by extrapolating high-frequency components. The image enlarging method using the Bezier surface has been proposed, where it is assumed that each pixel has energy. The pixel energy is invariant during the enlarging process.
N. Kato, H. Yasukawa, A. Taguchi
openaire   +1 more source

Isotope specific resolution recovery image reconstruction in high resolution PET imaging.

Medical physics, 2014
Measuring and incorporating a scanner-specific point spread function (PSF) within image reconstruction has been shown to improve spatial resolution in PET. However, due to the short half-life of clinically used isotopes, other long-lived isotopes not used in clinical practice are used to perform the PSF measurements.
Kotasidis, Fotis   +5 more
openaire   +5 more sources

High-resolution image reconstruction from multiple low-resolution images

7th International Conference on Image Processing and its Applications, 1999
In this paper, we demonstrate a digital signal processing (DSP) algorithm for improving spatial resolution of images captured by CMOS cameras. The basic approach is to reconstruct a high resolution (HR) image from a shift-related low resolution (LR) image sequence.
openaire   +1 more source

Multi-resolution Image

2021
In practical applications, some contents or features in an image need to be observed at a specific resolution to be easily seen or detected. Therefore, using multi-resolution images can often extract image features more effectively and obtain image content more actually (Kropatsch and Bischof 2004; Zhang 2017a).
openaire   +1 more source

Image resolution

Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontology, 2001
Allan G. Farman, Taeko T. Farman
openaire   +2 more sources

Image super-resolution using only low-resolution images

The Visual Computer, 2022
Fan Wang, Dong Yin, Ruiyuan Song
openaire   +1 more source

High-Resolution Imaging

2013
In the last two decades, high-resolution imaging of the skeleton has emerged as a growing field of research. Techniques such as high-resolution peripheral quantitative computed tomography (HR-pQCT) and high-resolution magnetic resonance imaging (HR-MRI) provide noninvasive access to bone microarchitecture, an important determinant of bone quality. High-
Janina M. Patsch, Jan S. Bauer
openaire   +1 more source

image resolution

The Journal of microwave power and electromagnetic energy : a publication of the International Microwave Power Institute, 2014
openaire   +3 more sources

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