Multiframe superresolution of vehicle license plates based on distribution estimation approach
type: Item
instance of: scholarly article
title: Multiframe superresolution of vehicle license plates based on distribution estimation approach
zbMATH Open document ID: 1346.93345
DOI: 10.1155/2016/4194309
author: Renchao Jin
author: Shengrong Zhao
author: Xiangyang Xu
author: Enmin Song
published in: Journal of Control Science and Engineering
publication date: 2016-10-20T00:00:00Z
review text: Summary: Low-Resolution (LR) license plate images or videos are often captured in practical applications. In this paper, a distribution estimation based Super-Resolution (SR) algorithm is proposed to reconstruct the license plate image. Different from the previous work, here, the High-Resolution (HR) image is estimated via the obtained posterior probability distribution by using the variational Bayesian framework. To regularize the estimated HR image, a feature-specific prior model is proposed by considering the most significant characteristics of license plate images; that is, the target has high contrast with the background. In order to assure the success of the SR reconstruction, the models representing smoothness constraints on images are also used to regularize the estimated HR image with the proposed feature-specific prior model. We show by way of experiments, under challenging blur with size \(7 \times 7\) and zero-mean Gaussian white noise with variances 0.2 and 0.5, respectively, that the proposed method could achieve the Peak Signal-to-Noise Ratio (PSNR) of 22.69 dB and the Structural SIMilarity (SSIM) of 0.9022 under the noise with variance 0.2 and the PSNR of 19.89 dB and the SSIM of 0.8582 even under the noise with variance 0.5, which are 1.84 dB and 0.04 improvements in comparison with other methods.
Mathematics Subject Classification ID: 93E03
Mathematics Subject Classification ID: 94A08
Mathematics Subject Classification ID: 68U10
zbMATH DE Number: 6641348
zbMATH Keywords: low-resolution (LR) license plate images
zbMATH Keywords: superresolution (SR) algorithm
zbMATH Keywords: distribution estimation
zbMATH Keywords: peak signal-to-noise ratio (PSNR)
zbMATH Keywords: structural similarity (SSIM)
Wikidata QID: Q59126042
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2016/4194309
OpenAlex ID: W2336923563
cites work: Single-Image Super-Resolution via Linear Mapping of Interpolated Self-Examples
cites work: Super Resolution Image Reconstruction Through Bregman Iteration Using Morphologic Regularization
cites work: Tikhonov’s Regularization to the Deconvolution Problem
cites work: Variational Bayesian Super Resolution
description: scientific article; zbMATH DE number 6641348