Next Article in Journal
A Flexible Sensing Unit Manufacturing Method of Electrochemical Seismic Sensor
Next Article in Special Issue
Infrared and Visible Image Fusion Based on Different Constraints in the Non-Subsampled Shearlet Transform Domain
Previous Article in Journal
A Novel “Off-On” Fluorescent Probe Based on Carbon Nitride Nanoribbons for the Detection of Citrate Anion and Live Cell Imaging
Previous Article in Special Issue
Convolutional Neural Network-Based Classification of Driver’s Emotion during Aggressive and Smooth Driving Using Multi-Modal Camera Sensors
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(4), 1164;

Edge-Aware Unidirectional Total Variation Model for Stripe Non-Uniformity Correction

School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Author to whom correspondence should be addressed.
Received: 26 February 2018 / Revised: 28 March 2018 / Accepted: 28 March 2018 / Published: 11 April 2018
(This article belongs to the Special Issue Advances in Infrared Imaging: Sensing, Exploitation and Applications)
Full-Text   |   PDF [2604 KB, uploaded 3 May 2018]   |  


The problem of stripe non-uniformity in array-based infrared imaging systems has been the focus of many research studies. Among the proposed correction techniques, total variation models have been proven to significantly reduce the effect of this type of noise on the captured image. However, they also cause the loss of some image details and textures due to over-smoothing effect. In this paper, a correction scheme is proposed based on unidirectional variation model to exploit the direction characteristic of the stripe noise, in which an edge-aware weighting is incorporated to convey image structure retaining ability to the overall algorithm. Moreover, a statistical-based regularization is also introduced to further enhance correction performance around strong edges. The proposed approach is thoroughly scrutinized and compared to the state-of-the-art de-striping techniques using real stripe non-uniform images. Results demonstrate a significant improvement in edge preservation with better correction performance. View Full-Text
Keywords: Edge-aware weighting; stripe non-uniformity; total variation Edge-aware weighting; stripe non-uniformity; total variation

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Boutemedjet, A.; Deng, C.; Zhao, B. Edge-Aware Unidirectional Total Variation Model for Stripe Non-Uniformity Correction. Sensors 2018, 18, 1164.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top