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 Dual Directed Capsule Network for Very Low Resolution ...
gion of interest to be of a very low resolution (VLR), often times less than 16× 16 [33]. Figure 1(a) shows sample real-world applications of VLR recognition where the re-gion of interest can be a face, a suspicious object, or the license plate number of a moving vehicle. These samples demonstrate the arduous nature of the problem where some...
Multi-morphology image super-resolution via sparse ...
In intelligent transport systems (ITS) surveillance applications, there is a high demand for recognition of vehicle, license plate and traffic sign etc., which are often occupy a small part of LR image or video . For more precisely extracting region of interest (ROI), many algorithms use image super-resolution as a pre-processing step....
Single Image Super-Resolution via Dynamic Lightweight ...
Single image super-resolution is devoted to generating a high-resolution image from a low-resolution one, which has been a research hotspot for its significant applications. A novel method that is totally based on the single input image itself is proposed in this paper....
Dual Directed Capsule Network for Very Low Resolution ...
gion of interest to be of a very low resolution (VLR), often times less than 16 16 [33]. Figure1(a) shows sample real-world applications of VLR recognition where the re-gion of interest can be a face, a suspicious object, or the license plate number of a moving vehicle. These samples demonstrate the arduous nature of the problem where some
LNCS 4338 - A Discontinuity Adaptive Method for Super ...
The low-resolution images are quite noisy, and blurred. Motion and blur estimates derived from such degraded images will not be correct. It is well-known fact that the per-formance of super-resolution algorithms is good only when these parameters are known accurately. The high-resolution license plate image is modeled as a...
Estimating the 4D respiratory lung motion by ...
Methods: First, the authors propose a novel spatiotemporal registration algorithm to align all phase images of 4D-CT (in low-resolution) to a high-resolution group-mean image in the common space.The temporal coherence of registration is maintained by a set of temporal fibers that delineate temporal correspondences across different respiratory phases....
Dual Directed Capsule Network for Very Low Resolution ...
In typical surveillance scenarios, images are often captured from a large stand-off distance, thus rendering the region of interest to be of a very low resolution (VLR), often times less than 16 × 16 [].Figure 1 (a) shows sample real-world applications of VLR recognition where the region of interest can be a face, a suspicious object, or the license plate number of a moving vehicle....
List of Accepted Papers – ICIP 2020
an effective hierarchical resolution learning method for low-resolution targets tracking: ... generalization of a hybrid approach for the correction of cone beam ct images using inter-patient image registration: 2889: ... lightweight image super-resolution reconstruction with hierarchical feature-driven network:...
GitHub - zziz/pwc: Papers with code. Sorted by stars ...
Papers with code. Sorted by stars. Updated weekly. - zziz/pwc
Superresolution of text from nonideal video, Proceedings ...
a) four LR images of a car license plate; b) SR image produced by UCSC-SR software (A=2); c) SR image produced by our technique (A=2). particularly suitable for textual images because they are approximately piecewise constant functions.28 By setting an appropriate edge-stopping parameter (suggested value is 16), textual regions can be eï ......
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