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Biologically Inspired Techniques in Many Criteria Decision Making 1

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丛书名： Smart Innovation, Systems and Technologies

1000年

作者： Satchidananda Dehuri Bhabani Shankar Prasad Mishra Pradeep Kumar Mallick Sung-Bae Cho

ISBN: (数字)9789811687396

ISBN: (纸本)9789811687389;9789811687419

This book includes best-selected, high-quality research papers presented at Second international conference on Biologically Inspired Techniques in Many Criteria Decision Making (BITMDM 2021) organized by Department of Information & Communication Technology, Fakir Mohan University, Balasore, Odisha, India, during December 20-21, 2021. This proceeding presents the recent advances in techniques which are biologically inspired and their usage in the field of many criteria decision making. The topics covered are biologically inspired algorithms, nature-inspired algorithms, multi-criteria optimization, multi-criteria decision making, data mining, big-data analysis, cloud computing, IOT, machine learning and soft computing, smart technologies, crypt-analysis, cognitive informatics, computational intelligence, artificial intelligence and machine learning, data management exploration and mining, computational intelligence, and signal and image processing.

关键词： Computational Intelligence Artificial Intelligence algorithms signal, image and Speech processing

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Self-Distillation for Low-Dose CT image Denoising 2

Self-Distillation for Low-Dose CT Image Denoising

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2nd IEEE China international Youth conference on Electrical Engineering, CIYCEE 2021

作者： Mou, Hang Xia, Wenjun Yang, Zi-Yuan Zhou, Jiliu Zhang, Yi College of Computer Science Sichuan University Chengdu610065 China

ISBN: (纸本)9781665400640

As a medical imaging technique, computed tomography (CT) has been widely used in clinical internal visualization, lesion detection and disease tracking. But excessive radiation will cause adverse effects on patients. Lowering the radiation dose can alleviate this problem, but it will lead to the degradation of CT images. In this paper, we propose a knowledge distillation-based denoising method for low-dose CT images. The teacher network trained with higher dose data can generate soft labels for the student network to avoid information loss. The experiments prove that the model trained with our proposed method outperforms the original model in terms of detail preservation. © 2021 IEEE.

关键词： Distillation

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A PROBABILITY-BASED ALL-ZERO BLOCK EARLY TERMINATION ALGORITHM FOR QSHVC 30

A PROBABILITY-BASED ALL-ZERO BLOCK EARLY TERMINATION ALGORIT...

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30th IEEE international conference on image processing (ICIP)

作者： Wang, Dayong Lu, Xin Dufaux, Frederic Wang, Qianmin Li, Weisheng Hang, Bo Zhu, Ce Chongqing Univ Posts & Telecommun Chongqing Key Lab Big Data Bio Intelligence Chongqing Peoples R China De Montfort Univ Sch Comp Sci & Informat Leicester Leics England Univ Paris Saclay CNRS Cent Supelec Lab Signaux & Syst Paris France Chongqing Univ Posts & Telecommun Sch Comp Sci & Technol Chongqing Peoples R China Chongqing Univ Posts & Telecommun Chongqing Key Lab Image Cognit Chongqing Peoples R China Hubei Univ Arts & Sci Comp Sch Xiangyang Hubei Peoples R China Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu Peoples R China

ISBN: (纸本)9781728198354

To seamlessly adapt to time-varying network bandwidths, Quality Scalable High-Efficiency Video Coding (QSHVC) is developed. However, its coding process is overwhelmingly complex, and this seriously limits its wide applications in realtime environments. Therefore, it is of great significance to study fast coding algorithms for QSHVC. In this paper, we propose a novel probability-based All-Zero Block (AZB) early termination algorithm for QSHVC. We observe that the generated residual coefficients follow the Laplace distribution if a CU is accurately predicted. Based on this observation, we derive the sum of squared differences-based AZB decision condition. Second, the probability of each coding mode and coding depth being chosen as the best ones are combined with AZBs to derive the probability-based early termination condition. The experimental results show that the proposed algorithm can improve the average coding speed by 74.95% with a 0.26% increase in BDBR.

关键词： SHVC probability AII-Zero Block

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Systems, signals and image processing 1

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丛书名： Communications in Computer and Information Science

1000年

作者： Gregor Rozinaj Radoslav Vargic

ISBN: (数字)9783030968786

ISBN: (纸本)9783030968779

This volume constitutes selected papers presented at the 28th international conference on Systems, signals and image processing, IWSSIP 2021, held in Bratislava, Slovakia, in June 2021. Due to the COVID-19 pandemic the conference was held online.;The presented 14 full and 5 short papers were thorougly reviewed and selected from the 76 submissions. The papers focus on various aspects of advanced signal processing in different scientific areas, including filter design, Fourier and other transforms, feature extraction, machine learning and system adaptation to user-oriented products like 5G networks, IoT, virtual teleport or tele-surgery operations.

关键词： Computer Imaging, Vision, Pattern Recognition and Graphics Information Systems and Communication Service Computer System Implementation Computer Communication Networks Machine Learning

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Edge Maps Assisted image Super-Resolution using Spatial Feature Transform 12

Edge Maps Assisted Image Super-Resolution using Spatial Feat...

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12th international conference on Graphics and image processing (ICGIP)

作者： Waseem, Ahmad Liu, Ye Wan, Liang Tianjin Univ Coll Intelligence & Comp Tianjin Peoples R China

ISBN: (纸本)9781510642782;9781510642775

Deep learning has revolutionized every field of computer vision, including single image super-resolution because of its remarkable performance pertaining to effectiveness and efficiency. Various recent methods try to predict the SR image by incorporating different prior knowledge of images. In this paper, we propose a new method that utilizes not only internal image features but also multi-level edge prior knowledge with richer information. Holding the intuition that edge information helps to deal with blurry edges and try to generate sharper results, we present a residual edge and channel attention super-resolution network to handle LR images, named RECAN. Our architecture consists of two basic modules: the first module is EdgeNet, which generates multi-level edge maps from the input image;and the second module takes advantage of significant information in input image along with edge maps, called SRNet. Specifically, the SRNet uses channel attention technique and spatial feature transform (SFT) layers to super-resolve an image. Qualitative and quantitative comparisons are presented with state-of-the-art methods, which show promising results of our method together with improved image quality.

关键词： Single image Super-Resolution Edge Information Channel Attention Spatial Feature Transform

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Comparative Analysis of Edge Detectors Applying on the Noisy image Using Edge-Preserving Filter 1st

Comparative Analysis of Edge Detectors Applying on the Noisy...

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1st international conference on advanced Network Technologies and Intelligent Computing (ANTIC)

作者： Kumar, Tapendra Bardhan, Shawli Indian Inst Informat Technol Sch Comp Una 177220 Himachal Prades India

ISBN: (纸本)9783030960407;9783030960391

In computer vision, edge detection is a fundamental technique. It is used as a pre-processing technique to make image segmentation, pattern recognition, and feature extraction more comfortable. Digital images are often corrupted by the noise that causes the detection of spurious edges during edge detection. Thus, we'd like to suppress the maximum amount of noise as potential while retaining important image features such as edges, corners, and other sharp structures. This research compares multiple edge detection methods applied to a filtered image by adding speckle noise. In this paper, four edge detection operators have been applied to an image denoised by various edge-preserving filters, and their performance is evaluated based on the performance metrics peak signal-to-noise ratio (PSNR) and mean squared error (MSE). images from the Barcelona images for Perceptual Edge Detection Dataset (BIPED) are used for performance evaluation of filters and edge detection techniques. The experimental results show that a bilateral filter with a Canny edge detection operator is the most optimized method for edge detection of speckle-noise-affected images.

关键词： image processing Edge detection Noise Edge-preserving filters PSNR MSE BIPED

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Research on Infrared Sequence image Denoising Based on Multiframe Averaging and Improved Bilateral Filtering

Research on Infrared Sequence Image Denoising Based on Multi...

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2021 international conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and signal processing Technology

作者： Wang, Huaqiang Shi, Junsheng Zhang, Huaping Xiong, Bingyi Liang, Jing School of Physics and Electronic Information Yunnan Normal University Kunming China Yunnan Key Laboratory of Opto-electronic Information Technology Kunming China

ISBN: (纸本)9781510655676

Infrared imaging systems have been widely used in military and civil fields. However, the degradation of imaging quality is constantly affected by stripe noises. The traditional mean filtering, median filtering, Gaussian filtering, Wiener filtering and other algorithms have dependence on different noise images, and the image edge is blurred by denoising. The popular bilateral filter takes a lot of calculation due to a two-dimension way and floating point spatial proximity factor. In this paper, an infrared sequence image denoising method based on multi-frame averaging and improved bilateral filtering is introduced. An improved bilateral filter with an integer spatial proximity factor is designed, which is realized by one dimension filtering in horizontal and vertical directions. First, basal stripe in each frame image is removed by two-point correction, and the improved bilateral filter is used to smooth the noise and protect the edge of the image at the same time. Second, random noise is further removed by averaging multi-frame with a set of 25 images. The experimental results show that the proposed denoising method can effectively remove the noise and better maintain the edge structural information of the image. © 2022 SPIE.

关键词： image denoising

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Towards Fast Region Adaptive Ultrasound Beamformer for Plane Wave Imaging Using Convolutional Neural Networks 43

Towards Fast Region Adaptive Ultrasound Beamformer for Plane...

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43rd Annual international conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (IEEE EMBC)

作者： Mathews, Roshan P. Panicker, Mahesh Raveendranatha Indian Inst Technol Elect Engn & Ctr Computat Imaging Palakkad Kerala India

ISBN: (纸本)9781728111797

Automatic learning algorithms for improving the image quality of diagnostic B-mode ultrasound (US) images have been gaining popularity in the recent past. In this work, a novel convolutional neural network (CNN) is trained using time of flight corrected in-vivo receiver data of plane wave transmit to produce corresponding high-quality minimum variance distortion less response (MVDR) beamformed image. A comprehensive performance comparison in terms of qualitative and quantitative measures for fully connected neural network (FCNN), the proposed CNN architecture, MVDR and Delay and Sum (DAS) using the dataset from Plane wave Imaging Challenge in Ultrasound (PICMUS) is also reported in this work. The CNN architecture can leverage the spatial information and will be more region adaptive during the beamforming process. This is evident from the improvement seen over the baseline FCNN approach and conventional MVDR beamformer, both in resolution and contrast with an improvement of 6 dB in CNR using only zero-angle transmission over the baseline. The observed reduction in the requirement of number of angles to produce similar image metrics can provide a possibility for higher frame rates.

关键词： image quality Ultrasonic imaging Three-dimensional displays Array signal processing Ultrasonic variables measurement Neural networks Imaging

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Proceedings of international conference on Communication and Computational Technologies 1

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丛书名： algorithms for Intelligent Systems

1000年

作者： Sandeep Kumar Sunil Dutt Purohit Saroj Hiranwal Mukesh Prasad

ISBN: (数字)9789811632464

ISBN: (纸本)9789811632457;9789811632488

This book gathers selected papers presented at 3rd international conference on Communication and Computational Technologies (ICCCT 2021), jointly organized in virtual format by Rajasthan Institute of Engineering and Technology, Jaipur and Rajasthan Technical University Kota in association with Soft Computing Research Society, during 27–28 February 2021. The volume is a collection of state-of-the-art research work in the cutting-edge technologies related to communication and intelligent systems. The topics covered are algorithms and applications of intelligent systems, informatics and applications, and communication and control systems.

关键词： Computational Intelligence signal, image and Speech processing Communications Engineering, Networks Artificial Intelligence

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Analysis of the dynamic response of a masonry wall through computer vision and image processing techniques 10

Analysis of the dynamic response of a masonry wall through c...

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10th international conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2021

作者： Sangirardi, Marialuigia Altomare, Vittorio de Felice, Gianmarco Department of Engineering University of Roma Tre Via Vito Volterra 62 Rome00146 Italy

Historic masonry buildings constitute an invaluable heritage and assessing their health conditions often implies the need to estimate the entity of the structural damage that they have experienced during their (most of the times centenary or even millenary) life. To do so, static and dynamic monitoring techniques are used. The entire process of data acquisition, post-processing and correlation with expected structural response or periodic measurements, however, poses some difficulties that need to be tackled. One obvious limitation of traditional systems is that installation of sensors on historic masonry structures can be difficult, expensive and time consuming. Thus, the research community is recently exploring new non-contact technologies based on image processing and computer vision. Their main advantages rely on the possibility of high-density measurements and a relatively simple acquisition procedure, for which neither an expensive equipment nor advanced technical skills are mandatorily required. Two different post-processing techniques are here adopted and in both cases a correlation analysis is performed to extract the most significant components. The procedures are calibrated on the single frequency fatigue test and are then used to analyse the dynamic properties of the wall subjected to random white noise excitation at two different damage state levels, pre-processed through the application of the Motion Magnification algorithm. In this latter case, results in terms of frequency are compared with the ones of an accelerometric network installed on the specimen, showing the efficiency of the procedure. Magnifying images prior to signal processing might become essential for real field applications of computer vision based dynamic monitoring, when structures under environmental excitation usually undergo imperceptible vibrations that would otherwise be invisible. © 2021 international conference on Structural Health Monitoring of Intelligent Infrastructure: Tra

关键词： Data acquisition

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