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检索条件"任意字段=IEEE International Conference on Signal and Image Processing Applications"

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A Comprehensive Study: image Forensic Analysis Traditional to Cognitive image processing 8

A Comprehensive Study: Image Forensic Analysis Traditional t...

引用

8th international conference on signal processing and Communication, ICSC 2022

作者： Singh, Surjeet Sehgal, Vivek Kumar Jaypee University of Information Technology Department of Computer Science and Engineering and Infotmation Technology Waknaghat Himachal Pradesh Solan India

ISBN: (纸本)9781665454308

image and video forensics is the biggest challenge in current digital era due to rapid change or modification in digital content by using lots of available free software and editing tools. Authenticity of image and video is explained from image acquisition phase to storage phase through various forensics methods. The aim of this survey is to investigate image and video forensics methods using the intrinsic footprints of digital image during the entire image processing life cycle in the traditional image processing paradigm to cognitive image processing paradigm. © 2022 ieee.

关键词： Life cycle

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image and Video D'encryption using Gray Pattern based algorithm 10

Image and Video D'encryption using Gray Pattern based algori...

引用

10th international conference on signal processing and Integrated Networks, SPIN 2023

作者： Malkuchi, Rohith Peri, Priyanka Kamle, Usha Osmania University Mvsr Engineering College Department of Electronics and Communication Engineering Hyderabad India

ISBN: (纸本)9781665490993

In the present era of communication, huge amount of multimedia data is being transmitted and received. Security and privacy of the data are important issues that must be addressed. Therefore, there is need of encryption to prevent breach of multimedia data. In this paper we bring out a new encryption algorithm, efficient for image as well as video. The algorithm mainly focuses on the confusion amongst the image pixels with the shuffle key generated by the gray pattern. Key generated by the gray pattern is observed to be more resistant than other random generated keys. The reason lies in the efficiency of gray pattern to create several pixel permutations. Our algorithm has achieved ideal results for gray scale, color, DICOM, thermal and UV images. The algorithm can be efficiently applied for video encryption. The performance of the proposed algorithm is compared with the existing algorithms by checking the metrics like Histogram, Entropy, Key sensitivity, Number of Pixel Change Rate, Unified Average Change in Intensity and Peak signal to Noise Ratio. The algorithm has shown good security levels and outperformed existing algorithms. A Graphical User Interface has been designed to showcase all the results and metric which is an added advantage for better analysis of algorithm. © 2023 ieee.

关键词： Pixels

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A Neuro Inspired Pulse Density Modulator Sensing Unipolar and Bipolar Current signals 37

A Neuro Inspired Pulse Density Modulator Sensing Unipolar an...

引用

37th international conference on VLSI Design (VLSID) / 23rd international conference on Embedded Systems (ES)

作者： Chowdhury, Tamal Mandal, Pradip IIT Kharagpur Dept EECE Kharagpur W Bengal India

ISBN: (纸本)9798350384406

Inspired by the spiking nature of a power-efficient biological neuron, a novel low-power current sensing Pulse Density Modulator is proposed. Due to its push-pull architecture, the proposed design can generate pulse density modulated signals for unipolar (one-sided) as well as bipolar (two-sided) input current signals. Further, the push-pull architecture has reduced its quiescent power, making itself suitable for low-power applications. In addition, the architecture has two independent paths to generate spiking output for two directions of input current. This gives flexibility in processing spiking signals with signed co-efficient. The proposed architecture has been designed and simulated in TSMC 65 nm CMOS technology with a 1.2 V power supply. The designed circuit can generate spikes ranging from 102 Hz to 106 Hz. Its simulated energy consumption is less than 2 pJ/spike for spiking rates above a few kHz. Simulated SNDR for bipolar and unipolar input current signals are 38 dB and 40 dB, respectively. The physical design of the circuit occupies an area of only 0.0037 mm2

关键词： Pulse Density Modulator (PDM) Bi-directional Spiking Neuron (BSN) signal to Noise and Distortion Ratio(SNDR) Effective Number of Bits (ENOB)

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Towards Deep Reference Frame in Versatile Video Coding NNVC

Towards Deep Reference Frame in Versatile Video Coding NNVC

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2023 ieee international conference on Visual Communications and image processing, VCIP 2023

作者： Bao, Weijie Jia, Jianghao Meng, Wenhui Liu, Zizheng Xu, Xiaozhong Liu, Shan Chen, Zhenzhong Wuhan University School of Remote Sensing and Information Engineering Wuhan China Tencent Media Lab Shenzhen China Tencent Media Lab Palo AltoCA United States

ISBN: (纸本)9798350359855

In this paper, we propose a deep reference frame generation method that aims to enhance bi-direction inter prediction under random access configuration in the latest video coding standard, Versatile Video Coding. Specifically, a pair of neighboring reconstructed frames are selected from decoded picture buffer and put into an optical-flow-based interpolation network to synthesize a new frame, similar to the current to-be-coded frame. Subsequently, this synthesized frame is incorporated into two-sided picture reference lists as additional reference frames. The proposed method is employed in both the encoding and decoding processes to eliminate bitstream signaling for supplementary information. The Small Ad-hoc Deep-Learning Library is utilized for implementing the proposed method. Experimental results demonstrate 3.67%/7.34%/6.51% coding efficiency improvements for Y/U/V components under the random access configuration when compared to the Versatile Video Coding NNVC reference software VTM-11_NNVC-5.0. © 2023 ieee.

关键词： Video signal processing

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SDR - MEDIUM RARE WITH FAST COMPUTATIONS 47

SDR - MEDIUM RARE WITH FAST COMPUTATIONS

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47th ieee international conference on Acoustics, Speech and signal processing (ICASSP)

作者： Scheibler, Robin LINE Corp Tokyo Japan

ISBN: (纸本)9781665405409

We revisit the widely used bss_eval metrics for source separation with an eye out for performance. We propose a fast algorithm fixing shortcomings of publicly available implementations. First, we show that the metrics are fully specified by the squared cosine of just two angles between estimate and reference subspaces. Second, large linear systems are involved. However, they are structured, and we apply a fast iterative method based on conjugate gradient descent. The complexity of this step is thus reduced by a factor quadratic in the distortion filter size used in bss_eval, usually 512. In experiments, we assess speed and numerical accuracy. Not only is the loss of accuracy due to the approximate solver acceptable for most applications, but the speed-up is up to two orders of magnitude in some, not so extreme, cases. We confirm that our implementation can train neural networks, and find that longer distortion filters may be beneficial.

关键词： source separation performance evaluation bss_eval signal-to-distortion ratio conjugate gradient descent

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IMPROVING IQA PERFORMANCE BASED ON DEEP MUTUAL LEARNING 29

IMPROVING IQA PERFORMANCE BASED ON DEEP MUTUAL LEARNING

引用

ieee international conference on image processing (ICIP)

作者： Yue, Guanghui Cheng, Di Wu, Honglv Jiang, Qiuping Wang, Tianfu Shenzhen Univ Sch Biomed Engn Hlth Sci Ctr Shenzhen Peoples R China Ningbo Univ Sch Informat Sci & Engn Ningbo Peoples R China

ISBN: (数字)9781665496209

ISBN: (纸本)9781665496209

In this paper, we propose a novel solution, termed DML-IQA, for the image quality assessment (IQA) tasks. DML-IQA holds a dual-branch network architecture and builds the IQA model through a deep mutual learning (DML) strategy. Specifically, the two branches extract stable feature representations by feeding different transformed images into the classical CNNs. The DML strategy first calculates the prediction loss of each branch and the consistency loss across two branches, followed by updating the network iteratively to converge. Overall, DML-IQA has the following advantages: 1) It is flexible to adapt to diverse backbones for tackling the IQA issues in both the laboratory and wild;2) It improves the baseline's performance by approximately 1%similar to 2%, especially performs well in the case of small samples. Extensive experiments on four public datasets show that the proposed DML-IQA can handle the IQA tasks with considerable effectiveness and generalization.

关键词： image quality assessment deep mutual learning convolutional neural networks

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Monitoring and Identifying Paddy Leaf Diseases Using Unmanned Aerial Vehicles (UAVs) with Machine Learning- A Survey 2

Monitoring and Identifying Paddy Leaf Diseases Using Unmanne...

引用

2nd ieee international conference on Industrial Electronics: Developments and applications, ICIDeA 2023

作者： Sahasranamam, V. Ramesh, T. Rajeswari, R. Bharathiar University Department of Information Technology Coimbatore India Bharathiar University Department of Computer Applications Coimbatore India

ISBN: (纸本)9798350381979

Paddy leaf diseases substantially threaten global rice production, resulting in significant crop yield losses and economic implications. Therefore, timely detection and accurate identification of these diseases are imperative for effective management strategies. Recent advancements in agricultural technologies have led to Unmanned Aerial Vehicles (UAVs) emerging as a promising tool for crop monitoring due to their capability to provide higher-resolution and real-time data. This research paper aims to afford a comprehensive outline of the use of UAVs in monitoring and identifying paddy leaf diseases, shedding light on their potential applications, challenges, and prospects. This paper showcases the pivotal role of UAVs in transforming disease monitoring practices in paddy fields. Equipped with sophisticated cameras and sensors, UAVs can capture aerial images and multispectral data of vast agricultural areas efficiently. These data can then be processed and analyzed using state-of-the-art image processing and machine-learning algorithms to identify disease symptoms, classify disease types, and assess the severity of infections. The paper delves into the various UAV-based disease identification techniques, elaborating on image processing methods employed for feature extraction, such as image segmentation, texture analysis, and color space transformations. Finally, the research paper addresses the prospects of UAVs in paddy leaf disease monitoring. The paper also suggests directions for further research on real-time disease mapping and automated spraying systems based on UAV data, aiming to optimize disease management efforts. applications based on UAVs should dynamically implement pest and nutrient management approaches. © 2023 ieee.

关键词： Machine learning

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GPS C/A code simulation analysis and GPS signal capture analysis based on MATLAB 8

GPS C/A code simulation analysis and GPS signal capture anal...

引用

8th international conference on Intelligent Computing and signal processing, ICSP 2023

作者： Shang, Zixia University of New South Wales Unsw Sydney Australia

ISBN: (纸本)9798350302455

The GPS nav system is currently the most widely used satnav system. It provides precise loc info and continuous cord data to users with receivers worldwide. In the development process of GPS receivers, signal simulation is indispensable. Therefore, this paper aims to introduce the methods of GPS signal capture analysis and C/A code simulation analysis based on MATLAB. The focus of this paper's work is as follows:1. Write MATLAB programs to generate 1023 chip codes for 32 GPS satellites to simulate GPS signals;2. Use freq-domain and time-domain signal acquisition to simulate the real signal situation by simulating and modulating sat channels. *** the simulated code delay based on the GPS sat PRN number, code phase offset, and Doppler freq to determine the signal transmission time and loc info.4. Identify the actual captured signal, analyze it using MATLAB, and calculate the delay of 32 GPS satellites. Through this paper's learning, readers can understand the methods of GPS signal capture analysis and C/A code simulation analysis based on MATLAB and how to apply them to the design and optimization of GPS receivers. This paper simultaneously addresses the shortcomings in current research where controllable errors, such as transmission delays, were not taken into account. By doing so, it provides a more precise reference for future research and applications in related fields. © 2023 ieee.

关键词： MATLAB

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TOWARD SNOW REMOVAL VIA THE DIVERSITY AND COMPLEXITY OF SNOW image 29

TOWARD SNOW REMOVAL VIA THE DIVERSITY AND COMPLEXITY OF SNOW...

引用

ieee international conference on image processing (ICIP)

作者： Shen, Yan Xu, Jiange Shao, Xiaotao Zhu, Jinbiao Wang, Xinmin Beijing Jiaotong Univ Beijing 100044 Peoples R China Chinese Acad Sci Aerosp Informat Res Inst Beijing Peoples R China Beijing Inst Radio Measurement Beijing 100854 Peoples R China

ISBN: (数字)9781665496209

ISBN: (纸本)9781665496209

Existing snow removal approaches ignore specific characteristics of the snowflake itself, leading to insufficient snowflake feature representation and further incomplete snow removal. We propose a novel snow removal algorithm considering the diversity and complexity of snow, named as DCSNet. For diversity, we construct an adaptive fusion feature pyramid structure, characterizing the four elements of snowflakes(i.e., shape, size, transparency and direction), guiding the following snow removal process with more accurate direction location and salient shape features. We further capture and fuse cross-scale interaction information from the four elements of represented snowflakes more comprehensively. For complexity, we design a progressive recovery module to decompose snowflakes layers stage by stage, allowing the previous feature maps to interact with degraded images for achieving clearer snowflake removal. Extensive experimental results show that DCSNet outperforms the state-of-the-art desnowing algorithms by 3 dB increase in PSNR on three representative datasets. The source code is available at https://***/Xjg-0216/DCSNet.

关键词： single image desnowing convolutional neural network diversity complexity

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High Temperature and High Pressure Direct Push Storage Logging System applications and Improvements 6

High Temperature and High Pressure Direct Push Storage Loggi...

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6th international conference on Intelligent Control, Measurement and signal processing, ICMSP 2024

作者： Fan, Fangfang Cu, Yunyan Wang, Shuihang Jiang, Qishu Wang, Jun Wang, Yadong Guo, Zhao Zhou, Xuyang China National Logging Corporation Xi'an China

ISBN: (纸本)9798331516550

With the increasing demand for developing complex oil and gas reservoirs such as shale gas and ultra-deep offshore wells, traditional logging technology is facing challenges such as high temperature and ultra-long well sections. This paper discusses the high-temperature and high-pressure direct-push storage logging system, which significantly improves the instrument's temperature, pressure, and mechanical strength through modularisation and integration design, and realizes real-time storage and efficient transmission of logging data Under the direct push mode, the operation process is simplified, the risk is reduced, the success rate and data quality are improved, and it is suitable for large inclined wells and horizontal wells. In response to problems in practical application, such as insufficient temperature resistance and low mechanical strength, improvement measures have been taken to upgrade the outer diameter of the instrument, design a new structure, and select high-temperature and durable devices, which have significantly enhanced the performance of the instrument. Meanwhile, the software function is upgraded to ensure the efficient matching of logging data and time-depth data. The technology has been applied in Qinghai, Tianjin, and other blocks with good results, achieving large-scale application. In the future, it will continue to improve the shortcomings of the technology, promote its wide application and sustainable development in the exploration of complex oil and gas reservoirs, and provide solid technical support for the industry. © 2024 ieee.

关键词： Offshore oil well production

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