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

共 10171 条记录，以下是31-40 订阅

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Study on digital Construction System of Changbai Mountain Manchu Paper-Cut by Computer Application of image processing Technology 2

Study on Digital Construction System of Changbai Mountain Ma...

引用

2nd IEEE International conference on image processing and Computer applications, ICIPCA 2024

作者： Zheng, Hanyu Changchun University of Architecture and Civil Engineering Jilin Changchun China

ISBN: (纸本)9798350360240

In order to solve the problems of digital expression, content retrieval and cultural calculation of traditional Manchu paper-cut patterns in Changbai Mountain area, an XML-based information storage model was proposed. This method can not only transform paper-cut images into XML format, but also provide the basis for paper-cut content retrieval, data mining and cultural operation. The deformation technique of TPS image and the MLS transform technique based on surface are presented. Take the input decoupage as the source image, and take a photo that needs to be generated decoupage style as the target image, the source image is deformed by the deformation algorithm according to the calibrated feature points to obtain the paper-cut style painting with the characteristics of the target image. The validity and advantages of the existing cultural rule mining methods are evaluated by verifying them. The experiment proves that by adding the required structure and characteristics, the constructed database can provide support for data mining and humanistic computing. The design ideas of the model in this paper are also applicable to other non-text resources. © 2024 IEEE.

关键词： Application programs

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Latent Channel Energy in Learned image Codecs 47

Latent Channel Energy in Learned Image Codecs

引用

conference on applications of digital image processing XLVII

作者： Prativadibhayankaram, Srivatsa Richter, Thomas Foessel, Siegfried Kaup, Andre Fraunhofer Inst Integrated Circuits IIS Moving Picture Technol Erlangen Germany Friedrich Alexander Univ Erlangen Nurnberg Multimedia Commun & Signal Proc Erlangen Germany

ISBN: (纸本)9781510679344;9781510679351

With the advent of learned image compression, numerous models have been developed. These models make use of non-linear transforms that are learnt during the training process, where an image is transformed into a latent space, quantized and entropy coded. At the decoder, the quantized latent is recovered and transformed back to image space through a synthesis transform. In this work, we attempt to present an analysis of the energy distribution across channels. In our prior works, we demonstrated the features captured by the analysis transform, that can provide insights into the bitrate distribution across channels. Building on that, we extend our findings with quantitative measurements. We consider various learned image codecs that are based on the variational autoencoder framework and compare them with Karhunen Loeve Transform (KLT) in terms of energy compaction. We also compare the closeness of the learned transforms to KLT to study the relationship between the design of classical codecs and learned codecs.

关键词： Linear transform coding non-linear transform coding deep learning image compression

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A Survey of Forensic applications using digital image processing: image Improvement Case Study 7

A Survey of Forensic Applications using Digital Image Proces...

引用

7th International conference on Computing Methodologies and Communication, ICCMC 2023

作者： Manaswini, Deevi Ghanta, Sri Sai Vidyadhari Manogna, Tubati Lavanya Naga Keerthana Kolakalapudi, L. Chaitanya, Gogineni Krishna Kumar, Anguraj Dinesh Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Guntur India

ISBN: (纸本)9781665464086

To gather reliable evidence and submit it to the court, forensic applications are used. Due to recent advancements in technology, many crimes now involve the modification of photos. Finding the original evidence and presenting it to the court has been simpler with the development of forensic software. The notion of digital image processing is combined with forensic applications to discover the original evidence with better evidence quality and to extract, analyse the most evidence feasible from the crime scenes. Analysing an image is absolutely necessary to determine the order of occurrences. Because image processing techniques lack a formal basis, forensic findings lose their legal value. To ensure that any image transformation meets high standards of safety and reliability, more rigorous methods should be applied to image processing applications. This paper focuses on how image enhancement technique s of digital image processing are used in the forensic applications. © 2023 IEEE.

关键词： image enhancement

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A blind color image watermarking for grayscale watermark based on tensor decomposition 48

A blind color image watermarking for grayscale watermark bas...

引用

48th Annual IEEE International Computers, Software, and applications conference (COMPSAC) - digital Development for a Better Future

作者： Hosono, Kaito Morizumi, Tetsuya Kinoshita, Hirotsugu Miyata, Sumiko Kanagawa Univ Fac Engn Yokohama Kanagawa 2218686 Japan Tokyo Inst Technol Sch Engn Tokyo 1528550 Japan

ISBN: (纸本)9798350376975;9798350376968

image watermarking is an important tool for copyright management, and various watermarking methods have been proposed. Tensor decomposition, which has attracted much attention in image processing, has been applied as a watermarking method, however, no method has been proposed for color cover images with grayscale watermarks. Therefore, we propose a color image watermarking method that involves using a grayscale watermark. We evaluated the attack resistance of the proposed method through experiments.

关键词： Water marking Tensor decomposition t-SVD Chaotic map Wavelet transform

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image Segmentation Techniques: applications, Opportunities and Challenges 15

Image Segmentation Techniques: Applications, Opportunities a...

引用

15th International conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Pundir, Shivali Matta, Priya Chaudhary, Sumit RS Uttaranchal University Computer Science & Engineering Tula's Institute Uttarakhand Dehradun India Tula's Institute Computer Science & Engineering Uttarakhand Dehradun India Uttaranchal University Computer Science & Engineering Uttarakhand Dehradun India

ISBN: (纸本)9798350370249

digital image processing is the class of methods that is used in all research domain. With the help of a computer algorithm, the manipulation of an image is done that provides the required information about the image which includes the sharpness and blurriness of an image, identification of edges, and many more. digital image processing follows fundamental steps like image acquisition, image enhancement & restoration, color image processing, wavelets, multi-resolution processing, image compression, morphological processing, and image segmentation. In this paper, we reviewed various types of image segmentation and their application based on latest technology. We reviewed mathematical equation of some of the techniques to understand the working more accurately. Depending upon the review we provide conclusion about the advantage and limitation of the segmentation technique. © 2024 IEEE.

关键词： image reconstruction

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Origins of the Zigzag Scan in Transform-Based Picture Coding 47

Origins of the Zigzag Scan in Transform-Based Picture Coding

引用

conference on applications of digital image processing XLVII

作者： Reznik, Yuriy A. Brightcove Inc Boston MA 02210 USA

ISBN: (纸本)9781510679344;9781510679351

We review the history of the development of one of the most iconic tools in image and video coding - the zigzag scan. Despite its simplicity, we will show that its development was a non-trivial process that took several years, multiple iterations, and multiple ideas that eventually led to the formation of its final "zigzag" shape. Remarkably, we also discover that early variants of the zigzag scan appeared before the invention of the DCT, intra-predictors, and many other techniques in image and video coding algorithms. It is one of the oldest and most fundamental techniques in this context. This paper also traces the evolution of image and video codec architectures over the last six decades and brings examples of uses of the zigzag scan in modern-era image and video coding standards.

关键词： image and video coding Fourier analysis Boas-Kac-Lukosz inequalities DFT DCT KLT zigzag scan

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LIVE - Latent image and Video Encoding 47

LIVE - Latent Image and Video Encoding

引用

conference on applications of digital image processing XLVII

作者： Plasterer, John P. Xu, Lin Yang, Hsuan-Ting NETINT Technol Inc 306-3500 Gilmore Way Burnaby BC V5G 0B8 Canada Univ British Columbia Comp Sci Dept Vancouver BC Canada

ISBN: (纸本)9781510679344;9781510679351

Rapid development and deployment of GPU based computation has led to an improvement in diffusion generation of video and images. Further, a rapid reduction in the effective cost of compression using NNC techniques provides opportunities to compress images and videos in new ways. The overall structure of diffusion based generative video and images is leveraged to take advantage of the compressed latent to lower overall compression costs and latency. This paper presents an architecture to compress a latent for transmission and reduce overall latency and cost as compared to alternatives using traditional Codecs or NNC on the raw image. It explores a proof of concept based on image compression of a latent. It further presents computational cost, quantitative and perceptual quality, and latency for this architecture as compared to the alternatives.

关键词： Compression Neural Networks Generative AI Video Compression image Compression

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AI-SIPM 2024: International Workshop on Artificial Intelligence for Signal, image processing and Multimedia 24

AI-SIPM 2024: International Workshop on Artificial Intellige...

引用

4th Annual International conference on Multimedia Retrieval (ICMR)

作者： Ketcham, Mahasak Phodong, Kanyalag Pramkeaw, Patiyuth Yimyam, Worawut Chumuang, Narumol Songmuang, Pokpong Ganokratanaa, Thittaporn King Mongkuts Univ Technol Dept Informat Technol Management Bangkok Thailand Phranakhon Si Ayutthaya Rajabhat Univ Dept Comp Sci Phra Nakhon Si Ayutthaya Thailand King Mongkuts Univ Technol Thonburi Bangkok Dept Media Technol Program Bangkok Thailand Phetchaburi Rajabhat Univ Dept Business Informat Management Phetchaburi Thailand Muban Chombueng Rajabhat Univ Dept Digital Media Technol Bangkok Thailand Thammasat Univ Dept Comp Sci Bangkok Thailand King Mongkuts Univ Technol Thonburi Bangkok Dept Math Bangkok Thailand

ISBN: (纸本)9798400706028

The International Workshop on Artificial Intelligence for Signal, image processing, and Multimedia (AI-SIPM) aims to provide a platform for researchers, practitioners, and industry professionals to exchange ideas, discuss recent advancements, and explore future directions in the field of artificial intelligence (AI) applied to signal processing, image processing, and multimedia technologies. This workshop will feature presentations of novel research findings, practical applications, and innovative solutions addressing various challenges and opportunities in AI-driven signal and image processing, as well as multimedia analysis and understanding. Researchers and practitioners from academia, industry, and government agencies are invited to submit their original research contributions and participate in discussions that foster collaboration and knowledge sharing across different domains. Through this workshop, we aim to accelerate advancements in AI-driven technologies for signal processing, image analysis, and multimedia applications, contributing to the advancement of research and innovation in this rapidly evolving field.

关键词： algorithms signal processing image processing computer science artificial intelligence communication systems

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On the impact of learning-based image compression on computer vision tasks 47

On the impact of learning-based image compression on compute...

引用

conference on applications of digital image processing XLVII

作者： Akamatsu, Shunsuke Testolina, Michela Upenik, Evgeniy Ebrahimi, Touradj Waseda Univ Adv Multimedia Syst Lab Shillman Hall 4013-14-9 OkuboShinjuku Ku Tokyo 1690072 Japan Ecole Polytech Fed Lausanne EPFL Multimedia Signal Proc Grp MMSPG CH-1015 Lausanne Switzerland

ISBN: (纸本)9781510679344;9781510679351

The image compression field is witnessing a shift in paradigm thanks to the rise of neural network-based models. In this context, the JPEG committee is in the process of standardizing the first learning-based image compression standard, known as JPEG AI. While most of the research to date has focused on image coding for humans, JPEG AI plans to address both human and machine vision by presenting several non-normative decoders addressing multiple image processing and computer vision tasks in addition to standard reconstruction. While the impact of conventional image compression on computer vision tasks has already been addressed, no study has been conducted to assess the impact of learning-based image compression on such tasks. In this paper, the impact of learning-based image compression, including JPEG AI, on computer vision tasks is reviewed and discussed, mainly focusing on the image classification task along with object detection and segmentation. This study reviews the impact of image compression with JPEG AI on various computer vision models. It shows the superiority of JPEG AI over other conventional and learning-based compression models.

关键词： JPEG AI learning-based image compression computer vision image classification object detection

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Optimized image processing on FPGAs: Comparative Analysis of Adder Architectures for image Smoothing applications

Optimized Image Processing on FPGAs: Comparative Analysis of...

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2025 IEEE International Students' conference on Electrical, Electronics and Computer Science, SCEECS 2025

作者： Varun, G. Abhinav Chaitanya, R. Jagadeesh, J. Sm, Sakthivel School of Electronics Engineering Chennai India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529833

image smoothening is a highly utilized operation in digital image processing focused on reducing the impact of noise. In field programmable gate arrays (FPGA) based implementation, the working of the image smoothening process depends on the arithmetic components, particularly the adder structures. Modifying the underlying adder structures would have a significant impact on the efficiency of image processing. This paper presents a comparative analysis of four advanced adder architectures - like optimized lower part constant or adder (OLOCA), hardware optimized approximate adder with normal error distribution (HOAANED), brent-kung adder, and kogge-stone adder - against the conventional ripple carry adder (RCA). Different adder's impact is evaluated based on delay, power consumption, resource utilization, and peak signal-to-noise ratio (PSNR). Our findings demonstrate how selecting an optimal adder can impact the performance of FPGA-based image-smoothening applications. © 2025 IEEE.

关键词： image analysis

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