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Super Resolution to Identify License Plate Numbers in Low ...
S. Lin and C. Chen. Reconstructing Vehicle License Plate Image from Low Resolution Images using Nonuniform Interpolation Method. International Journal of Image Processing, 1(1):21--28, 2007. Google Scholar; C. Liu and D. Sun. A Bayesian approach to adaptive video super resolution.
Super-Resolution of License Plate Images using Algebraic ...
Super-Resolution of License Plate Images using Algebraic Reconstruction Technique . Email: {Abstract—In this paper, an iterative super-resolution reconstruction method is introduced for license plate recognition. A high-resolution image of the license plate is reconstructed by fusing the information derived from a set...
A Survey on Techniques and Challenges in Image Super ...
Super resolution reconstruction produces high resolution image from sequence of low resolution images. The main aim of super resolution is to improve visual quality of ... method requires very accurate registration between images. ... nonuniform interpolation using four LR images, and (d) debluring part (c) [2]....
Survey on Single image Super Resolution Techniques
Super resolution is a method for reconstructing a high resolution image from several overlapping low-resolution images[1]. The low resolution input images are the result of re-sampling a high resolution image. The goal is to find the high resolutionimage which, when re-sampled in the lattice of the input images according to the imaging model ......
SUPER-RESOLUTION TECHNIQUES FOR HIGH-RESOLUTION IMAGE ...
SUPER-RESOLUTION TECHNIQUES FOR HIGH-RESOLUTION IMAGE RECONSTRUCTION 2014 SUPER-RESOLUTION TECHNIQUES FOR HIGH-RESOLUTION IMAGE ... 4 Joint Image Registration and Super-resolution from Low-resolution Images with Zooming ... we propose a reconstruction-based single frame vehicle license plate SR approach using learning...
Enhance Example-Based Super Resolution to Achieve Fine ...
Now in super resolution phase neighbor embedding method is used for searching the well match patch pair from dictionary and synthesize the high resolution.There are reconstructed high resolution image has some blur so for removing that blur used non-local mean algorithm, by using this algorithm we avoid the blur and improve the image quality ......
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 ......
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. Firstly, a local-feature based interpolation method where both edge pixel property and location information are taken into ......
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....
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