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Super-Resolution Image Restoration from Blurred Low-Resolution Images
Journal of Mathematical Imaging and Vision, 2005In 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
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2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06), 2006
Johnson and Heberts 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
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Johnson and Heberts 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
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Image super-resolution via multi-resolution image sequence
2013 International Conference on Wavelet Analysis and Pattern Recognition, 2013A 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 +3 more
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HIGH-RESOLUTION IMAGING OF THE BRAIN
Magnetic Resonance Imaging Clinics of North America, 1998Phased-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 +2 more
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Evaluation of resolution improvement for super-resolution image
Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005Super-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.
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Super-resolution inducing of an image
Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002The 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
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Image super-resolution using only low-resolution images
The Visual Computer, 2022Fan Wang, Dong Yin, Ruiyuan Song
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Super-Resolution Imaging and Plasmonics
Chemical Reviews, 2017This review describes the growing partnership between super-resolution imaging and plasmonics, by describing the various ways in which the two topics mutually benefit one another to enhance our understanding of the nanoscale world. First, localization-based super-resolution imaging strategies, where molecules are modulated between emissive and ...
Katherine A. Willets +3 more
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Generation of high resolution images from low resolution images
NSIP 2005. Abstracts. IEEE-Eurasip Nonlinear Signal and Image Processing, 2005., 2005Summary 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
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Spatial Resolution in NMR Imaging
IEEE Transactions on Medical Imaging, 1984NMR 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 +5 more
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