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Accelerated haze removal for a single image by dark channel prior Research Articles

Bo-xuan YUE, Kang-ling LIU, Zi-yang WANG, Jun LIANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8, Pages 1109-1118 doi: 10.1631/FITEE.1700148

Abstract: Dealing with haze is still a challenge for image processing applications nowadays.After restoration via the linear hazy model, the restored images are tuned to improve the contrast, value

Keywords： Haze removal Dark channel prior Hazy image model Bilateral filtering

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A building unit decomposition model for energy leakage by infrared thermography image analysis

Yan SU, Fangjun HONG, Lianjie SHU

Frontiers in Energy 2020, Volume 14, Issue 4, Pages 901-921 doi: 10.1007/s11708-020-0679-y

Abstract: A quantitative energy leakage model was developed based on the thermography image data measured for bothcalculations of the effective thermal conductivity from the multiple-layer porous medium conduction modelThe model was validated by comparing to the electric meter records of energy consumption of the air conditioningThe present decomposition model for energy leakage is expected to provide a practical tool for quantitative

Keywords： heat conductivity heat coefficient heat &fllig ux infrared thermography thermal image

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Effect of adjusted mesoscale drag model on flue gas desulfurization in powder-particle spouted beds

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6, Pages 909-920 doi: 10.1007/s11705-021-2100-8

Abstract: An energy minimum multiscale model was adjusted to simulate the mesoscale structure of the flue gas desulfurizationThe obtained results revealed that the spout morphology simulated by the adjusted mesoscale drag modelIn addition, more thorough gas radial mixing was achieved using the adjusted mesoscale drag model.The mass fraction of water in the gas mixture at the outlet determined by the heterogeneous drag modelwas 1.5 times higher than that obtained by the homogeneous drag model during the simulation of water

Keywords： adjusted mesoscale drag model particle image velocimetry water vaporization desulfurization reaction

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Turbidity-adaptive underwater image enhancement method using image fusion

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-021-0669-8

Abstract: In this paper, we propose a turbidity-adaptive underwater image enhancement method.Based on the detection result, different image enhancement strategies are designed to deal with the problemThe proposed method is verified by an underwater image dataset captured in real underwater environmentThe result is evaluated by image metrics including structure similarity index measure, underwater colorimage quality evaluation metric, and speeded-up robust features.

Keywords： turbidity underwater image enhancement image fusion underwater robots visibility

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Research of Lossless Image Compression Base on Level-scalability

Li Luwei,Zhou Shuoyan,Cai Yiyu

Strategic Study of CAE 2005, Volume 7, Issue 10, Pages 33-37

Abstract:

A level-embedded lossless image compression method for continuous-tone still images is presented.Level (bit-plane) scalability is achieved by separating the image into two layers (the base layer andA comparison of the proposed scheme with a number of scalable and non-scalable lossless image compression

Keywords： data processing techniques lossless image compression context-based model embedded level

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Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3, Pages 227-237 doi: 10.1631/FITEE.1400217

Abstract: We present a novel image fusion scheme based on gradient and scrambled block Hadamard ensemble (SBHE)In the fusion phase, the image gradient is calculated to reflect the abundance of its contour informationBy compositing the gradient of each image, gradient-based weights are obtained, with which compressiveFinally, inverse transformation is applied to the coefficients derived from fusion, and the fused imageIn addition, different image fusion application scenarios are applied to explore the scenario adaptability

Keywords： Compressive sensing (CS) Image fusion Gradient-based image fusion CS-based image fusion

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Image analysis of soil failure on defective underground pipe due to cyclic water supply and drainage

Toshifumi MUKUNOKI, Naoko KUMANO, Jun OTANI

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 2, Pages 85-100 doi: 10.1007/s11709-012-0159-5

Abstract: Authors focused this problem and hence performed model tests with water-inflow and drainage cycle inthe model ground.The mechanism of cavity generation in the model ground was observed using an X-ray Computed TomographyIn those studies, water was supplied into the model grounds from the defected underground pipe modelAnd afterward, the cavity was generated just above the defected part of the model pipe in the ground.

Keywords： relative density grain property model test road subsidence underground pipe image processing X-ray CT

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Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1, Pages 77-82 doi: 10.1007/s11465-009-0013-1

Abstract: An edge detection method for the measurement of steel plate’s thermal expansion is proposed in this paper, where the shrinkage of a steel plate is measured when temperature drops. First, images are picked up by an imaging system; a method of regional edge detection based on grayscales’ sudden change is then applied to detect the edges of the steel plate; finally, pixel coordinates of the edge position are transformed to physical coordinates through calibration parameters. The experiment shows that the real-time, high precision, and non-contact measurement of the steel plate’s edge position under high temperature can be realized using the imaging measurement method established in this paper.

Keywords： thermal expansion image measurement edge detection image calibration

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Optimal CNN-based semantic segmentation model of cutting slope images

Mansheng LIN; Shuai TENG; Gongfa CHEN; Jianbing LV; Zhongyu HAO

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4, Pages 414-433 doi: 10.1007/s11709-021-0797-6

Abstract: analyze and identify the key components of cutting slope images in complex scenes and achieve rapid image-based

Keywords： slope damage image recognition semantic segmentation feature map visualizations

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Image-based fall detection and classification of a user with a walking support system

Sajjad TAGHVAEI, Kazuhiro KOSUGE

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3, Pages 427-441 doi: 10.1007/s11465-017-0465-7

Abstract: This study investigates an image-based classification of the human state while using a walking supportmethod can be implemented to other abnormality detection/classification applications that employ depth image-sensing

Keywords： fall detection walking support hidden Markov model multivariate analysis

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Deformable image registration with geometric changes

Yu LIU,Bo ZHU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10, Pages 829-837 doi: 10.1631/FITEE.1500045

Abstract: Geometric changes present a number of difficulties in deformable image registration.In this paper, we propose aglobal deformation framework to model geometric changes whilst promoting ageometric changes in image registration, and thus improves the registration accuracy.We show that the transformation estimated from our model is able to reconstruct the target image withlower instances of error than a standard elastic registration model.

Keywords： Geometric changes Image registration Sparsity Traumatic brain injury (TBI)

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1, Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: The digital image correlation (DIC) technology was utilized to collect vibration information of an actualThe results show that CNN can achieve 99% classification accuracy for the research model.

Keywords： structural state detection deep learning digital image correlation vibration signal steel frame

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Three-dimensional reconstruction of light microscopy image sections: present and future

Yuzhen Wang,Rui Xu,Gaoxing Luo,Jun Wu

Frontiers of Medicine 2015, Volume 9, Issue 1, Pages 30-45 doi: 10.1007/s11684-014-0337-z

Abstract:

Three-dimensional (3D) image reconstruction technologies can reveal previously hidden microstructures

Keywords： microtomy 3D imaging computer-assisted image processing 3D printing tissue scaffold

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Estimating Rainfall Intensity Using an Image-Based Deep Learning Model Article

Hang Yin, Feifei Zheng, Huan-Feng Duan, Dragan Savic, Zoran Kapelan

Engineering 2023, Volume 21, Issue 2, Pages 162-174 doi: 10.1016/j.eng.2021.11.021

Abstract: This paper proposes an image-based deep learning model to estimate urban rainfall intensity with highMore specifically, a convolutional neural network (CNN) model called the image-based rainfall CNN (irCNN) model is developed using rainfall images collected from existing dense sensors (i.e., smart phonesThe trained irCNN model is subsequently employed to efficiently estimate rainfall intensity based onThe results show that the irCNN model provides rainfall estimates with a mean absolute percentage error

Keywords： Urban flooding Rainfall images Deep learning model Convolutional neural networks (CNNs) Rainfall

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Public key based bidirectional shadow image authentication without pixel expansion in image secret sharing Research Article

Xuehu YAN, Longlong LI, Jia CHEN, Lei SUN,publictiger@126.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1, Pages 88-103 doi: 10.1631/FITEE.2200118

Abstract: generally includes shadow image detection and identification, and plays an important role in ISS.The authentication of the shadow image in the distributing (encoding) phase is also important for thethe received shadow image with his/her private key.In the decoding phase, the dealer can authenticate each received shadow image with a secret key; in addition, the dealer can losslessly decode the secret image with any k or more shadow images.

Keywords： Image secret sharing Shadow image authentication Public key Pixel expansion Lossless decoding