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低成本可重新架构色彩内插影像处理器积体电路架构设计

低成本可重新架构色彩内插影像处理器积体电路架构设计

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作者：赵文瑄中原大学

学位级别：硕士

本论文提出低成本的色彩补偿演算法，可实现于即时性色彩内插影像处理积体电路设计，在演算法部分以低成本、高品质为设计基础，演算法中包含的滤波器技术，分别为空间锐化滤波器与拉普拉斯滤波器的技术，可减少边缘像素点资讯的不足，... 详细信息

本论文提出低成本的色彩补偿演算法，可实现于即时性色彩内插影像处理积体电路设计，在演算法部分以低成本、高品质为设计基础，演算法中包含的滤波器技术，分别为空间锐化滤波器与拉普拉斯滤波器的技术，可减少边缘像素点资讯的不足，增强模糊的细节，提高影像还原品质，在设计上以低复杂度为基础，系数方面以2的倍数来运算，如此一来，在硬体部分，可使用位移器取代乘法器，大幅地降低电路成本，并搭配两条线缓冲记忆体，让影像处理器电路可以顺利处理像素点资讯，而不遗失所需运算之像素点资讯。本论文将参考文献[1]的主要运算电路，使用电路硬体共用技术，此项技术可以大大地降低硬体成本，提升逻辑使用率，并共用加法、减法与位移器提升逻辑使用率，共用加法、减法、位移器。电路设计完成后，先以FPGA验证电路功能是否正确，先以FPGA验证电路功能正确以后，再经过design Compiler合成电路经过design Compiler合成电路，最后使用IC Compiler光罩布局绕线进行晶片实现再使用IC Compiler光罩布局绕线，实现晶片。本论文之演算法，沿用先前参考文献[1]，在影像评估公式维持影像品质，而在硬体部份，工作频率可到达200MHz，逻辑闸数目为2.58K，在台积电0.18μm的CMOS制程下在0.18um的CMOS制程下，布局面积为32.2k μum2，相较于先前参考文献，本论文有效地降低11%之逻辑闸数目。

关键词：色彩滤波阵列色彩补偿色彩内插去马赛克空间锐化滤波拉普拉斯滤波

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An Advanced and Ideal Method for Tumor Detection and Classification from MRI image Using Gamma Distribution and Support Vector Machine 5th

An Advanced and Ideal Method for Tumor Detection and Classif...

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5th International conference on Soft Computing and signal processing, ICSCSP 2022

作者： Aruna, S.K. Sambandam, Rakoth Kandan Thaiyalnayaki, S. Vetriveeran, Divya —Kengeri Campus Karnataka Bangalore India Tamilnadu Chennai India

ISBN: (纸本)9789811986680

As indicated by a measurable report distributed by the registry of central brain tumor at United States (CBTRUS), roughly 59,550 individuals were recently diagnosed to have essential benign and essential harmful brain tumors in 2017. Besides, in excess of 91,000 individuals, in the United States alone, were living with an essential harmful cerebrum tumor and 367,000 were living with an essential kind brain tumor. The task of detecting the position of the tumor in the body of the patient is the starting point for a medical treatment in the diagnosis process. The main aim of this study is to design a computer system, which is able to detect the tumor presence in the digital images of the brain in the patient and to accurately define its borderline. In this proposed model, gamma distribution method is used for training, testing, and for the feature extraction process, while SVM, support vector machine is used for the classification process. Most of the algorithms find it difficult to segment the tumors that were present in the edges. But with the help of gamma distribution along with the use of edge analysis, it is easier to identify those tumor areas that are present in the edges, thus making it easier for the preprocessing process. Gamma distribution also provides us with high accuracy, and it can also point the exact location of the tumor than compared to other algorithms. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Tumors

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Detection and Localization of Underground Networks by Fusion of Electromagnetic signal and GPR images 13

Detection and Localization of Underground Networks by Fusion...

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13th International conference on Quality Control by Artificial Vision

作者： Hafsi, Meriem Bolon, Philippe Dapoigny, Richard Univ Savoie Mt Blanc LISTIC Chambery France

ISBN: (数字)9781510611221

ISBN: (纸本)9781510611214;9781510611221

In this paper, we purpose a new approach to the post-processing of multi-sensor detection based on knowledge representation and data fusion provided by several technologies. The aim is to improve the detection and localization of underground networks. This work is part of the G4M project, leaded by ENGIE LAB CRIGEN, the objective of which is the design of a versatile device for a reliable detection and localization of underground networks. The objective of this work, which is at the core of the G4M project, focuses on the validity of current detection methods, to optimize the process of detection using these methods and to establish a 3D map of subsoil networks.

关键词： Data fusion Knowledge representation Detection of underground networks GPR EM detection

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Parcel delineation in agricultural lands

Parcel delineation in agricultural lands

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IEEE signal processing and Communications Applications (SIU)

作者： Hulya Yalcin Elektronik ve Haberleşme Mühendisliği Bölümü İstanbul Teknik Üniversitesi

ISBN: (纸本)9781509064953

Despite the increased agricultural fields and food production, advances in agricultural technology and know-how have also caused significant environmental change in many regions. Monitoring irrigated lands and updating information about the use of each agricultural parcel is very valuable for a variety of agricultural-related agencies for research purposes. Additionally, many applications such as updating cadastral information, land-cover or land-use mapping, estimating agricultural subsidies require primarily a parcel-based study. Hence, a correct delineation of the parcels becomes very crucial. In this paper, we propose an algorithm for automatic delineation of agricultural parcels. We first apply watershed segmentation to high resolution remote sensing imagery. Applying watershed segmentation yields many superpixels which do not correspond to the actual parcels in the scene. We assume that the geometric and texture properties of parcels to be segmented are different from each other, but they are similar for the superpixels that fall into the same parcel. In order to improve segmentation, the superpixels are merged based on the assumptions that superpixels that have similar textural characteristics and which are also within close proximity of each other should be merged. In order to evaluate the performance of the proposed method, percentage of correctly segmented parcel areas are computed with respect to the manual ground truth delineation.

关键词： Remote sensing image segmentation Agriculture Computers Nanoelectromechanical systems Multiresolution analysis Algorithm design and analysis

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Improving the compression efficiency for transform video coding

Improving the compression efficiency for transform video cod...

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International conference on Systems and Informatics (ICSAI)

作者： Jianyu Lin Department of Electronic Engineering Guangdong Provincial key Laboratory of Digital Signal and Image Processing Guangdong P. R. China

A new 3D transform video coding algorithm is introduced, which does not use motion compensation. More independent and highly efficient algorithms are employed for each key step of the transform coding. For the transform step, the SCWP (Spectral Condensed Wavelet Packet) is adopted. For the quantization step, a trimming process is implemented, which keeps the bit allocation function of the significant propagation technique but is independent from the entropy coding step. For the entropy coding step, a novel entropy coding technique based upon binary run-length coding is proposed. This binary entropy coding can be applied to multiple symbol source coding, and it approaches an optimal efficiency bound which is within 1.5% of the source entropy when the source approaches iid. Principally, the complexity of the proposed transform video coding algorithm is comparable to that of a 2D still image transform coding algorithm. However, its compression performance is competitive to HEVC at high compression bitrates.

关键词： image coding Bit rate Transforms Encoding Algorithm design and analysis Video coding Three-dimensional displays

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Bandwidth-Aware Data Filtering in Edge-Assisted Wireless Sensor Systems

Bandwidth-Aware Data Filtering in Edge-Assisted Wireless Sen...

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IEEE Communications Society conference on Sensor and Ad Hoc Communications and Networks (SECON)

作者： Igor Burago Marco Levorato Aakanksha Chowdhery Department of Computer Science University of California

ISBN: (纸本)9781509066001

By placing processing-capable devices at the edge of local wireless access networks, Edge Computing architectures have been recently proposed to connect mobile devices to computational power through a one-hop low-latency wireless link. In this paper, we propose a new design where edge assistance is used to control local data filtering at the mobile devices in bandwidth and energy constrained systems. We focus on real-time monitoring applications, where the video input from mobile devices is processed to centrally detect and recognize objects. The edge processor controls the activation and deactivation of local classifiers implemented by the mobile devices to remove useless portions of video frames. The objective is to adapt the video stream to time-varying bandwidth constraints, while minimizing the additional energy consumption introduced by local processing. To this end, an optimization problem is formulated for a loss function embodying the balance between the risk of violating the available bandwidth and the cost of overly-conservative data filtering. The edge assists the local decision by extracting parameters of the video, such as density of objects of interest in a frame, which influence the output of the sensor. Numerical results, obtained by performing a measurement campaign based on a real implementation, illustrate the tension between energy and bandwidth use for a Haar-feature based cascade classifier.

关键词： Bandwidth Streaming media image edge detection Computer architecture Wireless sensor networks Wireless communication Mobile handsets

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Exploiting Computation Skip to Reduce Energy Consumption by Approximate Computing, an HEVC Encoder Case Study 20

Exploiting Computation Skip to Reduce Energy Consumption by ...

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20th conference and Exhibition on design, Automation and Test in Europe (DATE)

作者： Mercat, Alexandre Bonnot, Justine Pelcat, Maxime Hamidouche, Wassim Menard, Daniel UBL INSA Rennes IETR CNRS UMR 6164 Rennes France CNRS UMR 6602 Inst Pascal Clermont Ferrand France

ISBN: (纸本)9783981537093

Approximate computing paradigm provides methods to optimize algorithms with considering both computational accuracy and complexity. This paradigm can be exploited at different levels of abstraction, from technological to application levels. Approximate computing at algorithm level aims at reducing computational complexity by approximating or skipping block functions of the computation. Numerous applications in the signal and image processing domain integrate algorithms based on discrete optimization techniques. These techniques minimize a cost function by exploring the search space. In this paper, a new approach is proposed to exploit the computation-skipping approximate computing concept by using the Smart Search Space Reduction (SSSR) technique. SSSR enables early selection of the best candidate configurations to reduce the search space. An efficient SSSR technique adjusts configuration selectivity to reduce execution complexity while selecting the most suitable functions to skip. The High Efficiency Video Coding (HEVC) encoder in All Intra (AI) profile is used as a case study to illustrate the benefits of SSSR. In this application, two functions use discrete optimization to explore different solutions and select the one leading to the minimal cost in terms of bitrate/quality and computational energy: coding-tree partitioning and intra-mode prediction. By applying SSSR to this use case, energy reductions from 20% to 70% are explored through Pareto in Rate-Energy space.

关键词： Approximation algorithms signal processing algorithms Approximate computing Space exploration Prediction algorithms Energy consumption Complexity theory

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design of multi band laser echo detection system

Design of multi band laser echo detection system

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Annual conference of the Chinese-Society-for-Optical-Engineering (CSOE) on Applied Optics and Photonics China (AOPC) - Optical Sensing and Imaging Technology and Applications

作者： Du Baolin Chen Xiaomei Hu Leili AVIC Luoyang Res Inst Electroopt Equipment Luoyang 471009 Henan Peoples R China

ISBN: (数字)9781510614062

ISBN: (纸本)9781510614062;9781510614055

Laser echo has an important application in target detection and identification, beam quality analysis and so on. In the paper, a receiver for detecting laser echo signal is designed. Combined with the far field target plate, the facula performance test of photoelectric products can be carried out at the outfield experimental station. The laser echo receiving device mainly includes optical system, photoelectric conversion module, signal processing system, data processing and display control system and so on. The optical focal length of receiver is 1299.99mm, caliber 160mm, and image resolution is 320*256. Finally, the correctness of the laser echo receiver is verified by simulation experiments.

关键词： Laser echo receiving facula

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Brain computer interface to answer yes-no questions

Brain computer interface to answer yes-no questions

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International conference on Bio-engineering for Smart Technologies (BioSMART)

作者： Avid Roman-Gonzalez Natalia I. Vargas-Cuentas Miguel Hoyos Joel Diaz Mirko Zimic Image Processing Research Laboratory (INTI-Lab) Universidad de Ciencias y Humanidades (UCH) Laboratorio de Bioinformatica y Biologia Molecular Universidad Peruana Cayetano Heredia (UPCH)

The aim of this work is to design, implement and validate a primary communication system based on a brain-computer interface. There are people who - for various reasons - are affected in their ability to externalize their communication, however, they receive and process information from different sources. This system would allow basic communication - allowing the user to answer closed questions - through thought. The system was implemented by analyzing and interpreting electrical signals from brain activity, collected through electrodes attached to the scalp. The analog electrical signals were received by a data acquisition system and digitized for computer analysis. We implemented different signal processing techniques, pattern analysis, and classification and discrimination methods. By analyzing these signals and interpreting the electrical patterns, was achieved understand answers to simple questions. The system has been validated testing with healthy volunteers in the laboratory, obtaining good results.

关键词： Electroencephalography Electrodes Scalp Feature extraction Brain-computer interfaces Brain Speech

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Biometric Recognition Based on Palm Vein image Using Learning Vector Quantization

Biometric Recognition Based on Palm Vein Image Using Learnin...

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International conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME)

作者： Herry Setiawan Eko Mulyanto Yuniarno Department of Computer Science Polytechnic of South Aceh Tapaktuan Indonesia Department of Electrical Engineering Institute of Technology Sepuluh Nopember Surabaya Indonesia

Every human being has its own uniqueness among humans that other good physical form or characteristic trait. Biometrics is the science that can recognize a part of an individual. Therefore, biometric identification is one of the ways that is done to identify the identity of the person. Palm vein biometric is one who lately attracted many researchers and industry because it has several advantages over other physical characteristics such as fingerprint, iris and face. Palm vein has internal features making it difficult undermined, modified and simulated with fake palms. In this study, design and implementation will do a recognition system through the venous vessels. Systems that were built capable of taking images of the Palm veins, detect the presence of venous vessels are then able to tell based on the database. This is done after the process of extraction, processing and manufacturing characteristics against the image of Palm vein vessels. The method used is the phase and learning vector quantization symmetri. Feature extraction using phase symmetri. phase symmetri applied by calculating the amplitude and phase of the signal frequency of the image of the vein which represents detailed information detailed variant of an image of the vein. While learning vector quantization is used for grouping the exclusive result of extraction. This research resulted in the classification with accuracy reaching 94%.

关键词： Veins Feature extraction Training Instruments Information technology Biomedical engineering Vector quantization

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