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3rd International Conference on Advanced algorithms and Signal image processing. AASIP 2023

作者： Qu, Chenyao Tangge, Yanhao Yang, Guang Chumen High School Taizhou317605 China Nanjing Jinling High School Nanjing210002 China School of Automation Wuhan University of Technology Wuhan430070 China

ISBN: (纸本)9781510668522

The image processing.technology is widely used in digital signal processing. biomedical engineering, and industrial automation control. In image processing. image enhancement and restoration techniques are used in many imaging applications, such as astrophotography, medical imaging camera, film production, and infrared imaging. At the same time, image enhancement and restoration technology based on both deep learning and neural network is a major research hotspot in the area of image processing. This paper reviews the related research of image enhancement and restoration technology. In terms of image enhancement, the working principle of its technology based on spatial domain and frequency domain and contrast enhancement technology, including color image contrast enhancement, are introduced. In image restoration, median filtering technology and the Lucy-Richardson (LR) algorithm are introduced, including the adaptive median filtering algorithm and the improved LR algorithm based on the Gaussian low-pass filter. Finally, the merits and demerits of these technologies are discussed, and the development prospect of image enhancement and restoration technology has prospected. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： image reconstruction

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Design and Implementation of Optimized Resource Low-Power SoC Multi-Soft-Processor FPGA Hardware Acceleration architecture for Fast digital image processing

Design and Implementation of Optimized Resource Low-Power So...

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2023 IEEE National Aerospace and Electronics Conference, NAECON 2023

作者： Namou, L. Megherbi, D.B. University of Massachusetts Cminds Research Center Department of Electrical and Computer Engineering LowellMA01854 United States

ISBN: (纸本)9798350338782

This paper focuses on designing, implementing, and optimizing a distributed multi-soft-processor SoC low-power FPGA-based software-hardware co-design architecture for fast digital image processing.computing acceleration. The paper demonstrates an on and off-the-chip augmented hardware architecture implementation to overcome Memory, Cost, Size, and Power prohibitive resource constraints. This implementation experimentally achieves an optimized accelerated digital image processing.and digital filtering execution time. The method achieves 80 times computational speedup with the proposed augmented hardware-accelerated optimization scheme compared to an initial practical implementation without hardware acceleration. This design is implemented on an SoC Altera Cyclone- V FPGA. In this design, an FPGA Multi Softcore Processor is instantiated in the fabric and interfaced with an external SDRAM via a 16-bit Memory Controller Intellectual Property (IP) core. An 8-bit intensity resolution image (up to 1280 x 1280 pixels, but not limited) was imported from a PC (via Serial Communication) to the FPGA for Sobel spatial filter processing. Each Soft Core was memory mapped to each image segment to create a parallel multiprocessing.architecture. Multiple Sobel Filters are written and synthesized in the fabric. The Register Transfer Logic (RTL) code is written in VHDL and Verilog as a Hardware Description Language (HDL) to accelerate the design implementation. A different number of Softcore Processors in conjuncture with accelerated hardware are tested to compare the resulting computational efficiency. The timings between accessing the on-chip SRAM and the off-chip SDRAM can also be compared. In the final analysis, understanding that the FPGA Softcore using C is quick to implement and flexible to interface with, but it is a non-deterministic and sequentially executed process, and that the FPGA Fabric using HDL is rigid and constraint-driven, but no overhead, implemented in fabric, det

关键词： Field programmable gate arrays (FPGA)

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A Survey on Automated Disease Diagnosis and Classification of Herbal Plants Using digital image processing 6

A Survey on Automated Disease Diagnosis and Classification o...

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6th International Conference on Information Systems and Computer Networks, ISCON 2023

作者： Khandelwal, Ankit Shukla, Aasheesh Sain, Mangal GLA University Electronics and Communication Dept. Mathura India Dongseo University Information Engineering Dept. Busan Korea Republic of

ISBN: (纸本)9798350346961

This paper presents a review on automated disease detection processing. The primary issue in herbal plants is the diagnosis and stratification of its diseases. The conventional process is unpredictable and inconsistent, therefore techniques for classifying plants diseases using digital method are necessary as they speed up the identification process. This literature discusses various digital methods for classifying plant diseases. The first step is image processing.of herbal plants, which make use of traditional image processing.techniques and algorithms to categories diseases in herbal plants based on attributes like texture, color, and shape. The second step is plant categorization based on deep learning and machine learning, such as CNN, KNN, logistic regression etc. Deep learning applications mainly lessen the reliance on designs and preprocessing.techniques by joining the entire process. This review provides a basic understanding and knowledge of the current state-of-the-art researches, as well as some dynamic trends for future work.. © 2023 IEEE.

关键词： Computer vision

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Development of digital image processing.program for ship lock monitoring based on matlab App designer 8

Development of digital image processing program for ship loc...

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8th International Conference on Traffic Engineering and Transportation System, ICTETS 2024

作者： Cheng, Hong Chen, She Cheng, Fang Three Gorges Navigation Authority HB Yichang443001 China

ISBN: (数字)9781510686298

ISBN: (纸本)9781510686281

As a pivotal component of lock operation supervision and control, the efficacy of the lock monitoring system is contingent upon the security and reliability of lock operations. Given the influence of diverse environmental and equipment variables, the images captured by the digitalized image monitoring system of locks frequently exhibit deficiencies in image quality. This paper presents a summary of the image quality problems encountered in the ship lock monitoring system. The problems are classified and analysed, and the most appropriate functional algorithms are selected. A software architecture model is constructed using the Matlab App Designer development platform. The parameters are then obtained through repeated debugging to design an image processing.software that is highly efficient and reliable. This software is designed to optimise and enhance the image quality of the lock monitoring system. © 2024 SPIE.

关键词： MATLAB

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Exploration of Contour Coding and Its Application in digital image processing 3

Exploration of Contour Coding and Its Application in Digital...

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3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Little Femilin Jana, D. Kadam, Prema S. Sharma, Neeraj Garg, Avni Acharjya, Kalyan Venkadeshwaran, K. Prince Shri Venkateshwara Padmavathy Engineering College Department of Science and Humanities Chennai127 India Vishwakarma Institute of Information Technology Department of Artificial Intelligence & Data Science Pune India Vivekananda Global University Department of Electrical Engineering Jaipur India Centre of Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Mechanical Engineering Karnataka Ramnagar562112 India

ISBN: (纸本)9798350319125

Photograph processing.is a discipline of laptop science that concentrates on manipulating digital photos and using algorithms to recognize and beautify the photo's quality. Contour coding is a powerful approach used in virtual picture processing.that allows one to increase, shop, and examine virtual snapshots from a combination of strategies like aspect detection, morphological processing. and segmentation. Contour coding aims to reduce complex virtual pix to a fixed of fundamental symbolic features that may be created, stored, and manipulated without loss in quality or element. Applications of contour coding are specially used for item reputation, segmentation, spatial pattern reputation, and scientific photograph processing. This newsletter offers the theory and fundamentals of contour coding and explores its software in actual-world virtual picture processing.scenarios. We speak about the significance of contour coding and present a short evaluation of existing algorithms and improvement techniques used to achieve virtual photograph processing.desires. We additionally gift the advances and challenges of contour coding and how it could form the future of digital picture processing. © 2023 IEEE.

关键词： challenges development fundamentals processing segmentation

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An Event-Driven Light Field, digital Coded Exposure imager for Per-Pixel image Regeneration in Post processing

An Event-Driven Light Field, Digital Coded Exposure Imager f...

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Unconventional Imaging, Sensing, and Adaptive Optics 2023

作者： Mascarenas, David Green, Andre Mello da Silva, Moises Felipe Cattaneo, Alessandro Los Alamos National Laboratory PO Box 1663 MS F610 Los AlamosNM87544 United States

ISBN: (纸本)9781510666009

This work presents an imager architecture capable of forming frames with varying exposure time and focus from event-based imager data, in post processing. Conventional photography dictates that once a frame has been captured the information associated with the frame is controlled by the aperture/depth-of-field, the exposure time, and the ISO. The advent of technologies such as integral photography and plenoptic cameras made it possible to change the depth-of-field and plane-of-focus in post-processing. Recently, the concept of the digital coded exposure for event-based imagery was introduced, which allowed the formation of frames from event-data that respected a per-pixel, digitally specified, exposure-vs-time function. The digitally coded exposure allowed the formation of frames with different exposure time characteristics, on a per-pixel basis, in post-processing. from event-based imager data. In this work we present an imager architecture that leverages both plenoptic imager principles, and digital coded exposure principles, to result in an imager that allows regeneration of frames in post processing. in such a way that modification of two sides of the standard exposure triangle is possible. The proposed architecture could potentially also work with alternative imaging modalities such as a photon counting imager. © 2023 SPIE.

关键词： Pixels

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digital ultrasound image processing.method with an example of a hip joint condition study

Digital ultrasound image processing method with an example o...

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Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024

作者： Bilynsky, Yosyp Starover, Anzhelika Huralnyk, Artem Husak, Liudmyla Poplavskyi, Oleksandr Kovtoniuk, Mariana Tarczyńska, Marta Gawęda, Krzysztof Ussipbekova, Dinara Vinnytsia National Technical University 95 Khmelnytske Shose Vinnytsia Ukraine National Pirogov Memorial University 95 Khmelnytske Shose Vinnytsia Ukraine Vinnytsia Trade and Economic Institute DTEU 58 Soborna str. Vinnytsia Ukraine Kyiv National University of Construction and Architecture Kyiv Ukraine Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University Ostrozhskogo street 32 Vinnitsa21100 Ukraine Arthros Med Ctr Chodzki 31 St LublinPL-20090 Poland Department of information communication technologies Kazakh National Medical University named after S.D. Asfendiyarov Almaty050000 Kazakhstan

ISBN: (数字)9781510685796

ISBN: (纸本)9781510685789

Medical and biological images have different physical natures. A person-operator can perceive them in different ways. Therefore, an important task is the adaptation of the image processing.process to a specific user, that is, to a narrow task that is solved by the consumer of information. It is often not enough to present an object to an observer with the help of an ideal display system, since the information required for image analysis in order to search and identify objects, the determination of various quantitative characteristics can be manifested only as a result of digital processing. Based on the above, the paper proposes an automated method for extracting the contours of ultrasound images using the example of studying the state of the hip joint. This method makes it possible to construct conventional lines on the image of the hip joint in an automated mode with minimal expenditure of resources and subsequently to calculate the values of certain angular indicators, and using known methods of studying the condition of the hip joint, to estimate its degree of dysplasia. By automating the process, the reliability of diagnostics can be increased. © 2024 SPIE.

关键词： Ultrasonic imaging

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Overview of Research Progress of digital image processing.Technology

Overview of Research Progress of Digital Image Processing Te...

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2022 International Conference on Computing Innovation and Applied Physics, CONF-CIAP 2022

作者： Huang, Yitao Department of Electronic Science and Technology Tongji University Shanghai201804 China

digital image processing.technology has gone through rapid development and is extensively applied in daily life and production, with the rapid development of modern information technology. It plays an inestimable role in remote sensing, medicine, recognition and other fields. This paper briefly introduces the basic concept of digital image processing. summarizes and analyses the commonly used digital image processing.technology and the latest scientific research achievements from four aspects, and puts forward the future development direction of digital image processing. In the future, it will pay more attention to artificial intelligence algorithms and achieve better processing.results by optimizing the logical structure. By using the simplified image algorithm, the application scope of digital image processing.will gradually expand, and will develop in the direction of miniaturization, intelligence, and convenience. © Published under licence by IOP Publishing Ltd.

关键词： Artificial intelligence

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digital image processing.under Modified Core Function Based on Residue Number System

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SENSORS AND MATERIALS 2024年第10期36卷 4269-4282页

作者： Liao, Teh-Lu Hou, Yi-You Fang, Chi-Chun Chen, Cheng-Yi Natl Cheng Kung Univ Dept Engn Sci 1 Univ Rd Tainan 701 Taiwan Natl Kaohsiung Univ Sci & Technol Dept Intelligent Commerce 58 Shenzhong Rd Kaohsiung 824 Taiwan Cheng Shiu Univ Dept Elect Engn 840 Chengqing Rd Kaohsiung 833 Taiwan

In this study, we developed a residue number system (RNS), a numeral system consisting of an arbitrary number of pairwise coprime integers representing a specific integer by its value. We discovered that this system reduced the runtime or training speed of image processing. In addition, we observed that the characteristic operations of the core functions of the decentralized congruential system derived from the proposed system reduced the overall execution time or training speed of image processing. Both the speed of calculation and the properties of the congruential system ensured the accuracy and security of information after distributed processing. Overall, this approach enabled the use of different algorithms on microdevices while ensuring confidentiality. In summary, we developed a system capable of increasing the operation speed of image processing.by 50% through core function precomputation, with a modified image data input, a modified core function, and a reverse core function.

关键词： residue number system (RNS) modified core function (MCF) image enhancement cryptography

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image Enhancement Algorithm for Liver CT Scan using digital image processing 23

Image Enhancement Algorithm for Liver CT Scan using Digital ...

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Proceedings of the 2023 6th International Conference on digital Medicine and image processing

作者： Noel B. Linsangan Melissa B. Martin Jose Lorenzo I. Cacnio Jenn-Lung Su School of Electrical Electronics and Computer Engineering Mapua University Philippines Department of Biomedical Engineering Chung Yuan Christian University Taiwan

ISBN: (纸本)9798400709425

image Enhancement is defined as the process of improving the quality of a digitally-stored image by manipulating it by means of image processing. image enhancement is often applied in various images such as a Computed Tomography scan, a medical image employing tomography created by computer processing. The image produced in these scans are grayscale in nature and requires a much simpler image processing.technique compared to colored images. The techniques that will be used for the enhancement of a Liver CT scan shall follow the standards of “digital image processing. and shall be coded in computer programming software (Borland C++ Builder 6). digital image processing.is the use of computer algorithms to perform image processing.on digital images, the word algorithm being a series of steps, reoccurring or not. This research will demonstrate and describe in detail the different algorithms that were applied (e.g. grayscale transformation, histograms, histogram equalization, etc.) and the resulting recommended algorithm that will be used to reduce the noise of a liver CT scan image.

关键词： Algorithm CT scan digital image processing Liver Mean Filter

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