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Reconstructing Vehicle License Plate Image from Low ... - CORE
Abstract. In this study, non-uniform interpolation method was adopted to reconstructlicense plate image from a series of low resolution vehicle license plate images.Several image registration methods which were used to estimate the position andorientation differences between these low resolution images are tested in thisstudy....
Effects of image alignment error on vehicle license image ...
The non-uniform interpolation method is then used to reconstruct vehicle license plate images from images with a character size as small as 3 times 6 pixels. Results show that although the number or character is still not easy to read, the reconstructed image shows a better readability than the original image....
Superresolution Enhancement of Hyperspectral CHRIS/Proba ...
Given the hyperspectral-oriented waveband configuration of multiangular CHRIS/Proba imagery, the scope of its application could widen if the present 18-m resolution would be improved. The multiangular images of CHRIS could be used as input for superresolution (SR) image reconstruction. A critical procedure in SR is an accurate registration of the low-resolution images....
A super-resolution enhancement of UAV images based on a ...
The task of reconstructing high-resolution images given low-resolution images is called image super-resolution (SR). Within the wide variety of RS applications, it has a strong impact on the advancement of unmanned aerial vehicle (UAV) technologies. The camera is one of the most commonly used sensors in current UAVs, allowing complex information to be collected from the environments to be ......
Beyond Human-level License Plate Super-resolution with ...
Particularly, we design a null space based progressive vehicle search approach to retrieve the relevant images captured by different cameras given one vehicle with a low-resolution license plate. To handle the extremely varied license plate images caused by different sensors, times, depths, and viewpoints, we also propose a DP-GAN framework to ......
 SUPERRESOLUTION (WAVELET SUPERRESOLUTION)*
spatial resolution. If considered together on a reference grid, given low-resolution data are nonuniformly sampled. However, data from each frame are sampled regularly on a rectangular grid. This special type of nonuniform sampling is called interlaced sampling. We propose a new wavelet-based interpolation-restoration algorithm for superresolution....
Super Resolution - LinkedIn SlideShare
REGISTRATION Image registration is a process of overlapping more than one images of the same scene . These images are acquired from a single camera or by placing different cameras at different location. The acquired images are aligned geometrically . Once they are combined, if one part of the image is blurred or distorted this can be extracted ......
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
Super-Resolution from Image Sequence under Influence of ...
resolution reconstruction using the non-rigid deforma-tion recovers the detailed information in the frame obtained in the first stage. Experiments using syn-thetic images demonstrate the accuracy and stability of the proposed non-rigid registration technique. Further-more, experiments using real sequences underscore the...
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