Super-resolution reconstruction technology and its application on intelligent terminal device by Guqiao ZHU, Chao JIANG, Yuye XU

“…The development history of super-resolution reconstruction technology and its typical approaches were briefly introduced.An implementation solution of super-resolution reconstruction was proposed on one kind of intelligent terminal device.The image super-resolution approaches implemented by interpolation algorithms and deep learning algorithms were experimented and simulated, and their results on terminal’s processing performance and images’ quality of experience were evaluated and analyzed.The suggestions on appropriate scenarios of super-resolution implemented by the intelligent terminal device were proposed.Furthermore, some typical cases of super-resolution reconstruction technology in the fields of entertainment video services and home surveillance services were discussed.The possible research direction and the trend of convergence of this technology and relevant image processing technologies were also prospected.…”
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A pelvis MR transformer-based deep learning model for predicting lung metastases risk in patients with rectal cancer by Yin Li, Yin Li, Yin Li, Shuang Li, Shuang Li, Ruolin Xiao, Ruolin Xiao, Xi Li, Yongju Yi, Yongju Yi, Liangyou Zhang, Liangyou Zhang, You Zhou, You Zhou, Yun Wan, Chenhua Wei, Liming Zhong, Liming Zhong, Wei Yang, Wei Yang, Lin Yao, Lin Yao, Lin Yao

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Applications of Deep Learning to MRI Images: A Survey by Jin Liu, Yi Pan, Min Li, Ziyue Chen, Lu Tang, Chengqian Lu, Jianxin Wang

“…With the development of deep learning, many innovative deep learning methods have been proposed to improve MRI image processing and analysis performance. The purpose of this article is to provide a comprehensive overview of deep learning-based MRI image processing and analysis. …”
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A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example by I. D. Busov, M. A. Genaev, E. G. Komyshev, V. S. Koval, T. E. Zykova, A. Y. Glagoleva, D. A. Afonnikov

“…Nowadays, this analysis is used more and more widely, so the development of hyperspectral image processing methods is an urgent task. This paper presents a hyperspectral image processing pipeline that includes: preprocessing, basic statistical analysis, visualization of a multichannel hyperspectral image, and solving classification and clustering problems using machine learning methods. …”
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Implementation of Steiner Point of Fuzzy Set by Jiuzhen Liang, Dejiang Wang

“…Some experiments on image processing are given, in which the two methods are applied for implementing Steiner point of fuzzy image, and both strategies show their own advantages in computing Steiner point of fuzzy set.…”
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Defect detection of wire rope for oil well based on adaptive angle by Zhang Jijun, Meng Xiangqing

“…This paper uses a digital image processing method which is based on texture feature of steel cable to detect the fracture of steel wire. …”
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Smart home with neural network based object detection by Agyan Panda, Sheila Maria Muniz

“…Household object detection is a brand-new computer technique that combines image processing and computer vision to recognise objects in the home. …”
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Robust image hashing method from global perception features of human visual cortex by SUN Rui1, YAN Xiao-xing2, GAO Jun1

“…Firstly,the image was filtered low-passly and re-scaled to fixed size.Then the image was divided into key-dependent overlapping blocks.According to the hierarchical structure of HVS primary visual cortex,directional contour responses were extracted through layer-by-layer processing of visual pathway,and global perception features could be obtained by associating with the surface color of each blocks.These features included image direction and color information.The relation of adjacent entries was invariant to ordinary image processing.It could be used to quantize and permute these feature to get the binary image hash.Test results indicate that the proposed method is robust against con-tent-preserving modifications such as JPEG compression and filtering,at the same time,is capable of localizing image malicious tampering.Hashes of different images have very low collision probability.…”
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Method of anti-confusion texture feature descriptor for malware images by Yashu LIU, Zhihai WANG, Hanbing YAN, Yueran HOU, Yukun LAI

“…It is a new method that uses image processing and machine learning algorithms to classify malware samples in malware visualization field.The texture feature description method has great influence on the result.To solve this problem,a new method was presented that joints global feature of GIST with local features of LBP or dense SIFT in order to construct combinative descriptors of malware gray-scale images.Using those descriptors,the malware classification performance was greatly improved in contrast to traditional method,especially for those samples have higher similarity in the different families,or those have lower similarity in the same family.A lot of experiments show that new method is much more effective and general than traditional method.On the confusing dataset,the accuracy rate of classification has been greatly improved.…”
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Deep Learning-Based Crack Monitoring for Ultra-High Performance Concrete (UHPC) by Dongling Wu, Hongxiang Zhang, Yiying Yang

“…Traditional crack monitoring based on concrete images uses image processing, which requires high image preprocessing techniques, and the results of detection are vulnerable to factors, such as lighting and noise. …”
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Perona-Malik Model with Diffusion Coefficient Depending on Fractional Gradient via Caputo-Fabrizio Derivative by Gustavo Asumu Mboro Nchama, Angela Leon Mecias, Mariano Rodriguez Ricard

“…The Perona-Malik (PM) model is used successfully in image processing to eliminate noise while preserving edges; however, this model has a major drawback: it tends to make the image look blocky. …”
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Research on Grading Detection of the Wheat Seeds by Xian-Zhong Han, Ke-Jian Wang, Yingchun Yuan, Chen Chen, Liang Liang

“…We studied analytic hierarchy process (AHP) for seeds grading by digital image processing techniques in the paper. Firstly, preprocess the collected wheat seed images; extract some parameters, such as area, plumpness, rectangular, and elongation of the seed, and then build the level model. …”
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The Impact of KLT Coder on the Image Distortion in Astronomy by Petr Pata

“…Selected astronomical image processing algorithms are used for the encoder testing. …”
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A compressive data gathering method based on El Gamal cryptography by Xiaohan YU, Keming DONG, Xia LI, Chao CHEN

“…As a hot researching area,compressive sensing has advantages in signal process,image processing and data gathering and analysis.How to effectively and safely apply compressive sensing technology to collect data in wireless sensor networks is studied.Conventional compressive sensing technology based data collection method does not consider the security issue.Furthermore,every nod in the network must participate in the process of collecting measurements.The El Gamal cryptography and sparse matrices based compressive sensing technology were combined,and the El Gamal based sparse compressive data gathering (ESCDG) method was proposed.Theoretical analysis and numerical experiments show that ESCDG not only decreases the network resource consumption but also be able to defense the internal and external attacks.…”
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Stereo Image Segmentation Based on Graph Cut and Visual Correlation by Qingyan Dai, Zhongjie Zhu

“…Stereo image segmentation is a crucial and difficult issue in the field of object-based stereo image processing.By improving the Grabcut algorithm and exploiting the inter-view correlations,a novel stereo image segmentation scheme was proposed.The original left image was firstly transformed into a super-pixel image by improving the Slic algorithm.Then the super-pixel image was segmented and the foreground object in the left image is extracted based on the framework of Grabcut,where the energy function was rebuilt.Finally,by exploiting the inter-view correlations between the left and the right images,the foreground object in the right image was obtained based on contour correspondence by fusing color and texture features.The experimental results show that the proposed algorithm is more efficient and can achieve better segmentation results than the existing methods.…”
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Analytical Solutions for Nonlinear Dispersive Physical Model by Wen-Xiu Ma, Mohamed R. Ali, R. Sadat

“…Nonlinear evolution equations widely describe phenomena in various fields of science, such as plasma, nuclear physics, chemical reactions, optics, shallow water waves, fluid dynamics, signal processing, and image processing. In the present work, the derivation and analysis of Lie symmetries are presented for the time-fractional Benjamin–Bona–Mahony equation (FBBM) with the Riemann–Liouville derivatives. …”
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Generalizing the Brady-Yong Algorithm: Efficient Fast Hough Transform for Arbitrary Image Sizes by Danil D. Kazimirov, Ekaterina O. Rybakova, Vitalii V. Gulevskii, Arseniy P. Terekhin, Elena E. Limonova, Dmitry P. Nikolaev

“…The Hough (discrete Radon) transform (HT/DRT) is a digital image processing tool that has become indispensable in many application areas, ranging from general image processing to neural networks and X-ray computed tomography. …”
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Multiphoton imaging-based quantifiable collagen signatures for predicting outcomes in patients with pancreatic ductal adenocarcinoma by Xiwen Chen, Jikui Miao, Xingxin Huang, Xiahui Han, Liqin Zheng, Jianxin Chen, Linying Chen, Lianhuang Li

“…A combination of label-free multiphoton imaging technique and computer-aided image processing method may offer a novel and promising approach for finding new biomarkers to improve prognosis prediction and thereby tailor treatment strategies more effectively.…”
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Light weighted privacy protection ViT inference framework based on secret sharing by MA Min, FU Yu, HUANG Kai, JIA Xiaofeng

“…The ViT (vision transformer) inference framework, which was widely used in image processing, was found to have a risk of leaking user privacy data. …”
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Metric Induced Morphological Operators on Intuitionistic Fuzzy Hypergraphs by P. M. Dhanya, A. Sreekumar, M. Jathavedan, P. B. Ramkumar

“…The system modeled in this way finds application in text processing, image processing, network analysis, and many other areas.…”
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