scholarly journals [Paper] Visible-Light Image Synthesis from Infrared Images Using Texture Transfer

2016 ◽  
Vol 4 (2) ◽  
pp. 169-176
Author(s):  
Yu Wakabayashi ◽  
Sei Ikeda ◽  
Kosuke Sato
Keyword(s):  
Visible Light ◽  
Image Synthesis ◽  
Infrared Images ◽  
Light Image ◽  
Texture Transfer

Comparative Analysis of Image Measurement Accuracy in High Temperature Based on Visible and Infrared Vision

2013 ◽  
Vol 300-301 ◽  
pp. 1681-1686
Author(s):  
Zheng Liu ◽  
Su Mei Cui ◽  
He Yin ◽  
Yu Chi Lin
Keyword(s):  
High Temperature ◽  
Visible Light ◽  
Measurement Errors ◽  
Measurement Accuracy ◽  
Infrared Image ◽  
Infrared Images ◽  
Image Measurement ◽  
Light Image ◽  
Visible Light Imaging ◽  
Infrared Vision

Image measurement is a common and non-contact dimensional measurement method. However, because of light deflection, visible light imaging is influenced largely, which makes the measurement accuracy reduce greatly. Various factors of visual measurement in high temperature are analyzed with the application of Planck theory. Thereafter, by means of the light dispersion theory, image measurement errors of visible and infrared images in high temperature which caused by light deviation are comparatively analyzed. Imaging errors of visible and infrared images are proposed quantitatively with experiments. Experimental results indicate that, based on the same imaging resolution, the relative error value of visible light image is 3.846 times larger than infrared image in 900°C high temperature. Therefore, the infrared image measurement has higher accuracy than the visible light image measurement in high temperature circumstances.

Infrared and visible light image registration algorithm based on clustering and mutual information

2018 ◽  
Author(s):  
Zaiqing chen ◽  
Zhenhua Du ◽  
Feiyan Cheng ◽  
Junsheng Shi ◽  
Lijun Yun ◽  
...  
Keyword(s):  
Image Registration ◽  
Mutual Information ◽  
Visible Light ◽  
Registration Algorithm ◽  
Light Image ◽  
Image Registration Algorithm

Anti-Alteration Technology for License Plate Recognition System

2011 ◽  
Vol 211-212 ◽  
pp. 156-160
Author(s):  
Xing Yang ◽  
Yong Shun Ling ◽  
Xiao Li Hao ◽  
Hua Yang ◽  
Peng Ma
Keyword(s):  
Visible Light ◽  
Near Infrared ◽  
Imaging System ◽  
Recognition System ◽  
Infrared Range ◽  
License Plate ◽  
Uniform Field ◽  
License Plate Recognition ◽  
Infrared Images ◽  
Field Imaging

In order to realize anti-alteration function for License Plate Recognition System (LPRS), a uniform-field imaging system is designed and a corresponding anti-alteration algorithm is proposed. First, reflection characteristics of license plate and typical alteration material are measured. As a result, the two characteristics in near-infrared range fluctuate moderately and the former is notably lower than the latter. Then the uniform-field imaging system for visible-light and near-infrared is designed to capture the difference above effectively. Finally, the anti-alteration algorithm, composed of license plate location, character matching segmentation and alteration recognition, is introduced. Experimental results have indicated that visible-light and near-infrared images can be acquired stably by the proposed system under the condition of natural illumination and there are discriminable gray differences between license plate and alteration material in near-infrared images; and that success rate and average executive time of the algorithm are 86.5% and 157ms respectively.

scholarly journals Pedestrian Gender Recognition by Style Transfer of Visible-Light Image to Infrared-Light Image Based on an Attention-Guided Generative Adversarial Network

Mathematics ◽  
2021 ◽  
Vol 9 (20) ◽  
pp. 2535
Author(s):  
Na Rae Baek ◽  
Se Woon Cho ◽  
Ja Hyung Koo ◽  
Kang Ryoung Park
Keyword(s):  
Visible Light ◽  
Recognition Performance ◽  
Image Resolution ◽  
Infrared Light ◽  
Gender Recognition ◽  
Ir Camera ◽  
Style Transfer ◽  
Light Image ◽  
Outdoor Environments ◽  
Optical Blur

Gender recognition of pedestrians in uncontrolled outdoor environments, such as intelligent surveillance scenarios, involves various problems in terms of performance degradation. Most previous studies on gender recognition examined recognition methods involving faces, full body images, or gaits. However, the recognition performance is degraded in uncontrolled outdoor environments due to various factors, including motion and optical blur, low image resolution, occlusion, pose variation, and changes in lighting. In previous studies, a visible-light image in which image restoration was performed and infrared-light (IR) image, which is robust to the type of clothes, accessories, and lighting changes, were combined to improve recognition performance. However, a near-IR (NIR) image requires a separate NIR camera and NIR illuminator, because of which challenges are faced in providing uniform illumination to the object depending on the distance to the object. A thermal camera, which is also called far-IR (FIR), is not widely used in a surveillance camera environment because of expensive equipment. Therefore, this study proposes an attention-guided GAN for synthesizing infrared image (SI-AGAN) for style transfer of visible-light image to IR image. Gender recognition performance was improved by using only a visible-light camera without an additional IR camera by combining the synthesized IR image obtained by the proposed method with the visible-light image. In the experiments conducted using open databases—RegDB database and SYSU-MM01 database—the equal error rate (EER) of gender recognition of the proposed method in each database was 9.05 and 12.95%, which is higher than that of state-of-the-art methods.

scholarly journals Feature Point Matching Between Infrared Image and Visible Light Image Based on SIFT and ORB Operators

2020 ◽  
Vol 42 (2) ◽  
pp. 168-175
Author(s):  
巍 李 ◽  
凡 莫 ◽  
俊峰 谢 ◽  
绍礼 奚
Keyword(s):  
Visible Light ◽  
Infrared Image ◽  
Feature Point ◽  
Point Matching ◽  
Light Image ◽  
Feature Point Matching

scholarly journals Fusion processing algorithm of single-photon detection for three-dimensional point cloud and visible light image

2021 ◽  
Vol 42 (6) ◽  
pp. 1034-1039
Author(s):  
ZHANG Feifei ◽  
◽  
◽  
PENG Lei ◽  
YUAN Tao ◽  
...  
Keyword(s):  
Visible Light ◽  
Point Cloud ◽  
Single Photon ◽  
Three Dimensional ◽  
Processing Algorithm ◽  
Single Photon Detection ◽  
Photon Detection ◽  
Light Image
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