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【With the same author name:【Sun Rui】 Found 7 articles】 /Page Order by: Asce Desc

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Article | TP391

Super-resolution reconstruction of infrared image based on channel attention and transfer learning

Sun Rui, Zhang Han, Cheng Zhikang, et al

In recent years, infrared imaging technology has developed rapidly and has been increasingly used in military reconnaissance, security surveillance, and medical imaging. However, in the pr...

First published at: Jan 15, 2021

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doi:10.12086/oee.2021.200045

Opto-Electronic Engineering, Vol. 48, Issue 01, pp. 200045

Article | TP391.41

Image dehazing algorithm by combining light field multi-cues and atmospheric scattering model

Wang Xin, Zhang Xudong, Zhang Jun, et al

Image captured in foggy weather often exhibits low contrast and poor image quality, which may have a negative impact on computer vision applications. Aiming at these problems, we propose a...

First published at: Sep 17, 2020

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doi:10.12086/oee.2020.190634

Opto-Electronic Engineering, Vol. 47, Issue 09, pp. 190634

Article | TP391.41;TP183

Rotating invariant face detection via cascaded networks and pyramidal optical flows

Sun Rui, Kan Junsong, Wu Liuwei, et al

In the unconstrained open-space, face detection is still a challenging task due to the facial posture changes, complex background environment, and motion blur. The rotation-invariant algor...

First published at: Feb 19, 2020

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doi:10.12086/oee.2020.190135

Opto-Electronic Engineering, Vol. 47, Issue 01, pp. 190135

Article | TB872

A light field demosaicing method with double guided filtering

Shi Mengdi, Zhang Xudong, Dong Yunliu, et al

Aiming at the problem that the light field multi-view image quality is poor which is resulting from the specific lenslet structure of the light field camera and pixel aliasing at the lensl...

First published at: Dec 01, 2019

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doi:10.12086/oee.2019.180539

Opto-Electronic Engineering, Vol. 46, Issue 12, pp. 180539

Article | TB872

Depth map super-resolution with cascaded pyramid structure

Fu Xuwen, Zhang Xudong, Zhang Jun, et al

Due to the limitation of equipment, the resolution of depth map is low. Depth edges often become blurred when the low-resolution depth image is upsampled. In this paper, we present the pyr...

First published at: Nov 01, 2019

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doi:10.12086/oee.2019.180587

Opto-Electronic Engineering, Vol. 46, Issue 11, pp. 180587

Article | TP301.6

Lane recognition method based on fully convolution neural network and conditional random fields

Ye Zihao, Sun Rui, Wang Huihui

Aiming at the poor adaptability of traditional lane recognition method in complex pavement, this paper proposes a lane recognition method based on full convolutional neural network and con...

First published at: Feb 18, 2019

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doi:10.12086/oee.2019.180274

Opto-Electronic Engineering, Vol. 46, Issue 02, pp. 180274

Article | TP301.6

Person re-identification in foggy weather based on dark channel prior and metric learning

Sun Rui, Fang Wei, Gao Jun

Person re-identification, identifying the same person in database from non-overlapping camera views, is a challenging task. To reduce the influence of foggy weather on person re-identifica...

First published at: Dec 20, 2016

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doi:10.3969/j.issn.1003-501X.2016.12.022

Opto-Electronic Engineering, Vol. 43, Issue 12, pp. 142 - 146

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