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检索条件"任意字段=Conference on Applications of Digital Image Processing XXXIV"

共 10249 条记录，以下是51-60 订阅

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Low Power, High Accuracy Approximate Multiplier for Error-Resilient image processing Application 8

Low Power, High Accuracy Approximate Multiplier for Error-Re...

引用

8th IEEE International conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2024

作者： Harissh, G. Mathumitha, R. Dharini, R.S. Valli, P.A. Mohan, Navya Amrita School of Enginerring Amrita Vishwa Vidyapeetham Dept. of Electronics and Communication Engineering Coimbatore India

ISBN: (纸本)9798350350593

In contemporary times, one of the most crucial requirements for digital signal processing is high power efficiency. Realizing different multimedia applications, such as processing images and videos, requires digital signal processing. Multipliers are widely utilized and considered to be one of the most important arithmetic logic units. It is also among the units which utilizes the most power in image processing applications. When precise processing is not necessary, approximate computing is an appealing technique to achieve major boosts in area, power, and speed in error-resistant applications. The purpose of this work is to present a unique approximate multiplier design that preserves accuracy metrics while consuming less power. This can serve as a helpful stand-in for precise multipliers. The effectiveness of this multiplier is evaluated based on its power consumption, error metrics, and image processing application performance. The simulation results demonstrate the effectiveness of the proposed architecture by showing reductions in power consumption of 28.1% and 45.5%, respectively, when compared to the existing approximate and exact multipliers. It also shows comparatively lower values of Normalized mean error distance (NMED) and Mean relative error distance (MRED) proving its efficacy. © 2024 IEEE.

关键词： Multimedia signal processing

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Flexible and Transportable Illumination Control System for Machine Vision applications 10th

Flexible and Transportable Illumination Control System for M...

引用

International conference on New Technologies, Development and Application - Advanced Production Processes and Intelligent Systems

作者： Gusic, Muhamed Sokic, Emir Univ Sarajevo Dept Automat Control & Elect Fac Elect Engn Sarajevo 71000 Bosnia & Herceg

ISBN: (纸本)9783031662706;9783031662713

During the development of machine vision setups for industrial applications, namely automatic visual inspection systems, the type of required lighting and correct illumination position and intensity are often not known in advance. In order to solve a specific machine vision task, an engineer needs to propose and implement a suitable image processing algorithm and design the accompanying lighting system. Testing different illumination concepts, especially "in the field", using off-the-shelf lighting systems is time consuming. The paper presents a custom-made, cost effective, transportable and flexible system which may be used for testing different illumination techniques and simultaneously control multiple lighting modules. In addition to the hardware part, the developed software used for control the system is presented in the paper. The proposed device usefulness is demonstrated by solving a suitable multi-light digital image processing task.

关键词： machine vision visual inspection illumination control system embedded systems digital image processing

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image Recovery Using Test Trials of processing Systems 26

Image Recovery Using Test Trials of Processing Systems

引用

26th International conference on digital Signal processing and its applications, DSPA 2024

作者： Novikov-Borodin, Andrey V. Institute for Nuclear Research Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9798350361728

Mathematical methods for restoration of multidimensional signals and images distorted and noisy during their processing by linear stationary systems using test trials of these systems are considered. The use of test signals and images allows, first, to perform non-blind recovery without identifying distortion functions, which may even be from the class of generalized ones, and, second, to use regularization technique to recover real non-deterministic signals and images with noise and uncertainties. The peculiarities of practical use of test trial methods are considered. Numerical experiments on 1D signal and 2D image restoration at different noise levels are presented. © 2024 IEEE.

关键词： Restoration

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Print-Cam image Distortion Correction for Robust image Watermarking 26

Print-Cam Image Distortion Correction for Robust Image Water...

引用

26th International conference on digital Signal processing and its applications, DSPA 2024

作者： Boujerfaoui, Said Douzi, Hassan Harba, Rachid Ibn Zohr University IRF-SIC Laboratory Agadir Morocco Orléans University Prisme Laboratory Orléans France

ISBN: (纸本)9798350361728

At present, the widespread practice for image watermarking involves using handheld devices in unstructured conditions for image authentication. Print-cam watermarking specifically employs a smartphone camera to capture printed watermarked images. However, these captured images are typically not suitable for automatic information detection because of physical distortions, different camera angles, and varying illumination. Hence, rectifying distorted images is crucial to enhance the detection rate. In this paper, we presented Cam-Unet, an end-to-end neural network to directly predict the mapping from the distorted image to the rectified state. This learning framework is introduced to address print-cam issues specifically applied to identity images. Experimental results validate its superiority over state-of-the-art methods, with improved performance in terms of watermark detection rates. Tailored for industrial applications, Cam-Unet strikes an optimal balance between efficiency and cost-effectiveness, especially adept at addressing perspective distortions introduced by the print-cam process. © 2024 IEEE.

关键词： image watermarking

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PRIVACY-PRESERVING DEEP LEARNING USING DEFORMABLE OPERATORS FOR SECURE TASK LEARNING 49

PRIVACY-PRESERVING DEEP LEARNING USING DEFORMABLE OPERATORS ...

引用

49th IEEE International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Perez, Fabian Lopez, Jhon Arguello, Henry Univ Ind Santander Dept Comp Sci Bucaramanga 680002 Colombia

ISBN: (纸本)9798350344868;9798350344851

In the era of cloud computing and data-driven applications, it is crucial to protect sensitive information to maintain data privacy, ensuring truly reliable systems. As a result, preserving privacy in deep learning systems has become a critical concern. Existing methods for privacy preservation rely on image encryption or perceptual transformation approaches. However, they often suffer from reduced task performance and high computational costs. To address these challenges, we propose a novel Privacy-Preserving framework that uses a set of deformable operators for secure task learning. Our method involves shuffling pixels during the analog-to-digital conversion process to generate visually protected data. Those are then fed into a well-known network enhanced with deformable operators. Using our approach, users can achieve equivalent performance to original images without additional training using a secret key. Moreover, our method enables access control against unauthorized users. Experimental results demonstrate the efficacy of our approach, showcasing its potential in cloud-based scenarios and privacy-sensitive applications.

关键词： Computational Imaging Deformable Operators image Privacy image Encryption

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Scanning Electron Microscope image Data Acquisition and Transmission System 6

Scanning Electron Microscope Image Data Acquisition and Tran...

引用

6th International conference on Intelligent Control, Measurement and Signal processing, ICMSP 2024

作者： Zhang, Yang Wang, Zuye Zhao, Yong Hefei University of Technology School of Instrument Science and Opto-Electronics Engineering Hefei China

ISBN: (纸本)9798331516550

Scanning electron microscopy (SEM) has emerged as a pivotal tool in scientific research and engineering, offering unparalleled insights into the micro- and nano-scale world. However, traditional SEM systems often entail bulky setups and complex data acquisition processes, limiting their accessibility and efficiency in various applications. This paper designs a desktop SEM image data acquisition and transmission system based on FPGA. The system is divided into two parts: signal modulation and AD sampling circuit and image data processing and transmission circuit. By designing a circuit to process SE/BSE signals, signal modulation and analog-to-digital conversion are achieved. The sampling data is processed using the internal resources of the FPGA and transmitted to the PC through the USB3.0 high-speed interface, and finally displayed as a grayscale image. The system realizes real-time collection, processing and transmission of SEM signals, providing convenience and efficiency for scientific research and engineering applications. Experimental verification shows that the system performs well and has certain application potential. © 2024 IEEE.

关键词： Analog to digital conversion

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Pick and Pack: revitalizing mandalas through digital artistry 24

Pick and Pack: revitalizing mandalas through digital artistr...

引用

15th Indian conference on Computer Vision Graphics and image processing

作者： Sarkar, Tusita Abhishek, Tushar Bhowmick, Partha Indian Inst Technol Kharagpur Dept Comp Sci & Engn Kharagpur W Bengal India

ISBN: (纸本)9798400710759

This paper presents a novel approach to computational art focusing on mandalas-an iconic heritage of Indian art that has proliferated significantly in recent times. Our innovative software allows users to input a handcrafted mandala and select specific motifs for error rectification. The rectification leverages vector information for geometric discretization alongside a simple GCD rule, adhering to traditional mandala principles. The rectified image, being in vector form, allows various real-time operations in the vector space, such as insertion, deletion, or modification of motifs or layers, facilitating enhancements, enlargements, or creation of new compositions. We demonstrate the software's merit and versatility through various examples, highlighting its potential for special applications such as digital artistry with mandalas, including teaching and training. This work not only advances the field of computational art but also promises to preserve and enhance the rich tradition of mandala art through modern technology.

关键词： Art and culture art and psychology computational art digital art Indian art mandala

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A CROSS DOMAIN GENERATIVE NETWORK FOR ACCELERATED MRI 31

A CROSS DOMAIN GENERATIVE NETWORK FOR ACCELERATED MRI

引用

2024 International conference on image processing

作者： Ibrahim, Vazim Paul, Joseph Suresh Cochin Univ Sci & Technol Ernakulam 682022 Kerala India Indian Inst Informat Technol & Management Kerala Trivandrum 695581 Kerala India Digital Univ Kerala Sch Informat Trivandrum 695317 Kerala India

ISBN: (纸本)9798350349405;9798350349399

Compressed sensing (CS) is a method for accelerating MRI acquisition by acquiring less data through undersampling of Fourier space (k-space). Existing deep learning-based CSMRI methods are commonly concerned with optimizing datadriven network models with input undersampled data points and an efficient learning framework. Generative modelling is a learning framework employed in different applications for learning an abstract distribution of observed data and thereby generating new data points similar to the true features. In this regard, the current work proposes a Generative Adversarial Network (GAN) based Cross Domain Extrapolation Generative Adversarial Network (CdE-GAN) that incorporates an extrapolation mechanism through decoder-type architectural design to represent the fine details with a large set of pixels. The results obtained from the experiments show that the extrapolation network enables robust and accurate estimation of missing frequencies, alleviating the structural artifacts at higher acceleration/downsampling factors compared to state-of-the-art methods.

关键词： Compressed Sensing MRI Super-Resolution MRI Generative Adversarial Network Cross-domain Networks Convolutional Neural Network

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Research on Sensitive Information Recognition and Protection Mechanism Technology Based on image Samples

Research on Sensitive Information Recognition and Protection...

引用

International conference on Informatics Education and Computer Technology applications (IECA)

作者： Meng, Liang Meng, Chunzhi Tan, Yu Li, Siwei Chen, Lina Guangxi Power Grid Co Informat Commun Branch Nanning Peoples R China Guangxi Power Grid Co Ltd Nanning Power Supply Bur Nanning Peoples R China

ISBN: (纸本)9798350375343;9798350375336

With the advent of the digital age, as a key medium for information dissemination, the security and privacy protection of sensitive information carried by images have become increasingly important. This study conducted in-depth research on the recognition and protection mechanism of sensitive information in image samples, and proposed a comprehensive technical solution. By constructing a multi-level convolutional neural network (CNN) architecture and combining multimodal information such as EXIF data and text descriptions, this study achieved comprehensive recognition of sensitive content in images. In addition, the study also designed a series of protection mechanisms, including encryption technology, anonymization processing, and emphasized the importance of complying with laws, regulations, and ethical guidance. The research results not only improve the accuracy and efficiency of sensitive information recognition, but also provide solid technical and legal support for image privacy protection.

关键词： component Sensitive information identification image privacy protection protection mechanism Convolutional neural network Multimodal information fusion

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Orthogonal Matching Pursuit vs. Iterative Hard Thresholding: Addressing Phase Discontinuities in digital Holography 8

Orthogonal Matching Pursuit vs. Iterative Hard Thresholding:...

引用

conference on Optics, Photonics, and digital Technologies for Imaging applications VIII

作者： Wang, Yue Healy, John J. Univ Coll Dublin Sch Elect & Elect Engn Dublin 4 Ireland

ISBN: (纸本)9781510673151;9781510673144

This paper presents a novel comparative study between two prominent compressed sensing algorithms - Orthogonal Matching Pursuit (OMP) and Iterative Hard Thresholding (IHT) - within the context of digital holography, specifically focusing on their efficacy in handling phase discontinuities. Previous research has predominantly centered on Gibbs ringing artifacts in image reconstruction and their mitigation. However, the aspect of phase discontinuities, which are critical in holographic imaging, has not been extensively explored. Our study implement both OMP and IHT algorithms in a simulated digital holographic environment, where phase discontinuities are inherent due to the nature of holographic imaging. We analyze how these algorithms perform in the presence of phase discontinuities. We quantitatively analyze the performance of each algorithm in handling phase discontinuities. Additionally, our study delves into the computational efficiency of both algorithms, considering their practical applicability in real-time holographic imaging systems. The results of our comparative analysis provide insights into the advantages and limitations of OMP and IHT in the context of phase discontinuities. Our findings have significant implications for advancing digital holography, particularly in applications requiring precise phase information, such as medical imaging, microscopy, and non-destructive testing.

关键词： Discontinuities digital holography Holograms Reconstruction algorithms 3D image reconstruction Holography Compressed sensing Matrices image restoration 3D image processing

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