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A New Algorithm of Fractal Image Coding

Wang Xiuni,Jiang Wei,Wang Licun

Strategic Study of CAE 2006, Volume 8, Issue 1,   Pages 54-57

Abstract:

Because it takes too much of time in fractal image coding, the paper analyses the factors that affectthe speed of fractal image coding , and proposes a novel idea by using the reformed variance (tentatively) to improve image fractal compression performance .A theorem is proved that the IFS cannot change the image blocks' reformed variance.Moreover , it gives a novel fractal image compression method based on the reformed variance.

Keywords： fractal coding     image compression     variance    

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Vector quantization: a review Regular Papers

Ze-bin WU, Jun-qing YU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 4,   Pages 507-524 doi: 10.1631/FITEE.1700833

Abstract:

Vector quantization (VQ) is a very effective way to save bandwidth and storage for speech coding andimage coding.

Keywords： Approximate nearest neighbor search     Image coding     Vector quantization    

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Kernel sparse representation for MRI image analysis in automatic brain tumor segmentation None

Ji-jun TONG, Peng ZHANG, Yu-xiang WENG, Dan-hua ZHU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 471-480 doi: 10.1631/FITEE.1620342

Abstract: We propose a fully automatic brain tumor segmentation method based on kernel sparse coding.Sparse coding is performed on the feature vectors extracted from the original MRI images, which are a

Keywords： Brain tumor segmentation     Kernel method     Sparse coding     Dictionary learning    

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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 and implementation of flexible coding system oriented multi-view

ZHANG Xuhui, ZHANG Xu, NING Ruxin

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 4,   Pages 448-452 doi: 10.1007/s11465-007-0077-8

Abstract: On the basis of the requirements of a product data management system (PDM) for the flexible coding system, the principle of the flexible coding system oriented multi-view is analyzed.Generation and utilization of coding should be associated with the context of the object.rules and drive the automatic generation of object coding in different views (contexts).and elaborate the flexible coding process of the system.

Keywords： foundation     different     management     utilization     Generation    

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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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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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A reversibility-gain model for integer Karhunen-Loève transform design in video coding

Xing-guo ZHU,Lu YU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 883-891 doi: 10.1631/FITEE.1500071

Abstract: In this paper, a joint reversibility-gain (R-G) model is proposed for integer-KLT design in video codingThe ‘gain’ means transform coding gain (TCG), which is a widely used criterion for transform design invideo coding.maximizes the TCG under some assumptions, here we define the TCG loss ratio (LR) to measure how much coding

Keywords： Integer transform     Karhunen-Loè     ve transform (KLT)     Integer-KLT     Transform coding     Video coding    

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Certificateless broadcast multi-signature for network coding Research Article

Huifang YU, Zhewei QI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9,   Pages 1369-1377 doi: 10.1631/FITEE.2200271

Abstract: can save wireless network resources and is very fast in comparison with traditional routing. In real application scenarios, is vulnerable to pollution attacks and forgery attacks. To solve these problems, the certificateless broadcast multi-signature for (NC-CLBMS) method is devised, where each source node user generates a multi-signature about the message vector, and the intermediate node linearly combines the received data. NC-CLBMS is a multi-source multi-signature method with anti-pollution and anti-forgery advantages; moreover, it has a fixed signature length and its computation efficiency is very high. NC-CLBMS has extensive application prospects in unmanned aerial vehicle (UAV) communication networks, fifth-generation wireless networks, wireless sensor networks, mobile wireless networks, and Internet of Vehicles.

Keywords： Network coding     Certificateless multi-signature     Linear combination     Homomorphic hash function    

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Global transcriptome analysis for identification of interactions between coding and noncoding RNAs during

Nan Ding,Jiafei Xi,Yanming Li,Xiaoyan Xie,Jian Shi,Zhaojun Zhang,Yanhua Li,Fang Fang,Sihan Wang,Wen Yue,Xuetao Pei,Xiangdong Fang

Frontiers of Medicine 2016, Volume 10, Issue 3,   Pages 297-310 doi: 10.1007/s11684-016-0452-0

Abstract:

Studies on coding genes, miRNAs, and lncRNAs during erythroid development have been performed in recentIn the present study, we compared the dynamics of coding genes, miRNA, and lncRNA expression profiles

Keywords： erythroid differentiation     hematopoietic stem cell     RNA-seq     miRNA     lncRNA    

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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.developed an innovative model which significantly reduces the side effects of geometric changes in imageWe show that the transformation estimated from our model is able to reconstruct the target image with

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

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Suboptimal network coding subgraph algorithms for 5G minimum-cost multicast networks None

Feng WEI, Wei-xia ZOU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 5,   Pages 662-673 doi: 10.1631/FITEE.1700020

Abstract: multicast networks that have separate control and data planes, we focus on the minimum-power-cost network-coding

Keywords： Network coding subgraph     Minimum power cost     5G     Separation architecture    

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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 both

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

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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 actual

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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Title Author Date Type Operation

A New Algorithm of Fractal Image Coding

Wang Xiuni,Jiang Wei,Wang Licun

Journal Article

Vector quantization: a review

Ze-bin WU, Jun-qing YU

Journal Article

Kernel sparse representation for MRI image analysis in automatic brain tumor segmentation

Ji-jun TONG, Peng ZHANG, Yu-xiang WENG, Dan-hua ZHU

Journal Article

Turbidity-adaptive underwater image enhancement method using image fusion

Journal Article

Research and implementation of flexible coding system oriented multi-view

ZHANG Xuhui, ZHANG Xu, NING Ruxin

Journal Article

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Journal Article

Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Journal Article

A reversibility-gain model for integer Karhunen-Loève transform design in video coding

Xing-guo ZHU,Lu YU

Journal Article

Certificateless broadcast multi-signature for network coding

Huifang YU, Zhewei QI

Journal Article

Global transcriptome analysis for identification of interactions between coding and noncoding RNAs during

Nan Ding,Jiafei Xi,Yanming Li,Xiaoyan Xie,Jian Shi,Zhaojun Zhang,Yanhua Li,Fang Fang,Sihan Wang,Wen Yue,Xuetao Pei,Xiangdong Fang

Journal Article

Deformable image registration with geometric changes

Yu LIU,Bo ZHU

Journal Article

Suboptimal network coding subgraph algorithms for 5G minimum-cost multicast networks

Feng WEI, Wei-xia ZOU

Journal Article

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

Yan SU, Fangjun HONG, Lianjie SHU

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

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

Yuzhen Wang,Rui Xu,Gaoxing Luo,Jun Wu

Journal Article