Results 281 to 290 of about 2,604,798 (327)

Resolution-Aware Network for Image Super-Resolution

IEEE Transactions on Circuits and Systems for Video Technology, 2019
In existing deep network-based image super-resolution (SR) methods, each network is only trained for a fixed upscaling factor and can hardly generalize to unseen factors at test time, which is non-scalable in real applications. To mitigate this issue, this paper proposes a resolution-aware network (RAN) for simultaneous SR of multiple factors.
Yifan Wang 0004, Lijun Wang, Hongyu Wang 0001, Peihua Li   +3 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 0001, Andy C. Yau
openaire   +1 more source

Multi-Resolution Spin-Images

2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06), 2006
Johnson and Hebert’s spin-images have been applied to the registration of range images and object recognition with much success because they are rotation, scale, and pose invariant. In this paper we address two issues concerning spin-images, namely: (1) comparing uncompressed spinimages across large datasets is costly, and (2) a method to select the ...
H. Quynh Dinh, Steven Kropac
openaire   +1 more source

Image super-resolution via multi-resolution image sequence

2013 International Conference on Wavelet Analysis and Pattern Recognition, 2013
A novel super-resolution reconstruction algorithm of multi-resolution image sequence integrating the improved super-resolution reconstruction based on neighbor embedding with scale invariant feature transform (SIFT) is proposed in this paper. Firstly, SIFT key points in images are extracted.
null Xiang-Ji Chen, null Guo-Qiang Han, null Zhan Li, null Xiuxiu Liao   +3 more
openaire   +1 more source

HIGH-RESOLUTION IMAGING OF THE BRAIN

Magnetic Resonance Imaging Clinics of North America, 1998
Phased-array imaging at 1.5 T is a practical means of obtaining high-resolution images of the brain. Our novel coil designs and image intensity correction algorithms, which are critical for the accurate interpretation of phased-array images of the brain, are described.
P E, Grant, D B, Vigneron, A J, Barkovich   +2 more
openaire   +2 more sources

Evaluation of resolution improvement for super-resolution image

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005
Super-resolution (SR) of image sequence refers to reconstruction of a high-resolution (HR) image from sequentially observed low-resolution (LR) images. Over past two decades, numerous SR approaches have been proposed. However, how to evaluate resolution improvement of SR resulting image has been all the time neglected.
openaire   +1 more source

Super-resolution inducing of an image

Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002
The problem of increasing the resolution of an image I/sub k/ is stated as an inverse problem of image reduction. The enlarged image must belong to the set of images which best approximates I/sub k/ after reducing. A projection of any image onto this set provides one of the possible enlarged images of I/sub k/.
Didier Calle, Annick Montanvert
openaire   +1 more source

Image super-resolution using only low-resolution images

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

Spatial Resolution in NMR Imaging

IEEE Transactions on Medical Imaging, 1984
NMR imaging is used as an example of how spatial resolution can be improved in a signal-to-noise (S/N) limited situation. The NMR imaging process consists of two components-generating the NMR signal and localizing it in space. This paper will show that spatial resolution not only aids in identifying small structures, but improves the detectability of ...
L E, Crooks, L, Kaufman, J, Hoenninger, M, Arakawa, J, Watts, C R, Cannon   +5 more
openaire   +2 more sources

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