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检索条件"任意字段=Conference on Optical and Digital Image Processing"

共 5529 条记录，以下是111-120 订阅

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An overview of digital image analog noise removal based on traditional filtering

An overview of digital image analog noise removal based on t...

引用

2023 International conference on image, Signal processing, and Pattern Recognition, ISPP 2023

作者： Ma, Yiqun Zhang, Tianshuo Lv, Xin School of advanced technlolgy Jiaotong-liverpool University Suzhou China School of Cyberspace Security Hainan University Haikou China

ISBN: (纸本)9781510666351

Due to interference in the transmission of external equipment, images can suffer from varying noise concentrations. As an immediate and practical step to reduce the impact of noise on an image and to improve its quality and visual presentation, filtering is the best method. The paper examines how traditional filtering methods restore a digital image under salt and pepper and Gaussian noise interference. Also included in this paper is an analysis of the advantages and challenges of traditional noise filtering, as well as suggestions for a filtering method for a variety of noise levels. Lastly, the effects of filtered noise pictures are evaluated through extensive experimental simulations, providing substantial assistance for related research. © 2023 SPIE.

关键词： Salt and pepper noise

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Comparison of three methods for end-to-end optimization of hybrid optical/digital imaging systems with professional optical design software 3

Comparison of three methods for end-to-end optimization of h...

引用

conference on Unconventional optical Imaging III Part of SPIE Photonics Europe conference

作者： Fontbonne, Alice Sauer, Herve Goudail, Francois Univ Paris Saclay Inst Opt Grad Sch CNRS Lab Charles Fabry F-91127 Palaiseau France

ISBN: (纸本)9781510651494;9781510651487

We compare different methods to optimize end-to-end a hybrid optical/digital system for best and most uniform performance over the field-of-view with the Synopsys((R)) CodeV((R)) lens design software. We have extended the native optimization capability of this software by implementing different methods that leverage the deconvolution during the optimization process of the hybrid optical system as a whole, including simultaneously their optical and digital image processing parts. We show that the joint optimization of the lens and the processing through a true restored-image quality criterion significantly enhances the final post-processed image quality, and allows to fine-tune the residual balancing between on-axis and peripheral fields with simple weighting coefficients.

关键词： Complex lens end-to-end optimization hybrid system optical system design

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Reform and Practice of digital image processing Case Teaching Based on Attention Mechanism 12

Reform and Practice of Digital Image Processing Case Teachin...

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12th IEEE International conference on Educational and Information Technology, ICEIT 2023

作者： Li, Guanlin Jing, Xiaoguang Space Engineering University Department of Electronic and Optical Engineering Beijing China Space Engineering University Department of Basic Subjects Beijing China

ISBN: (纸本)9781665475518

In view of the close combination of the basic theory of digital image processing and practical engineering application, this paper explores a new concept of integrating the thinking of the educated to the teaching knowledge and illustrates the reform idea and application mode of case-based teaching in detail. Take "image feature detection"as an example, the basic principle is first described, and then the intelligent change detection based on spatiotemporal attention mechanism is extended, and data comparison is carried out. Through the study and experiment on cases, students can not only master theoretical knowledge, but also be cultivated with programming ability, so as to achieve the teaching goal of combining theory with experiment. © 2023 IEEE.

关键词： E-learning

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Review of privacy image data protection system 5

Review of privacy image data protection system

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5th International conference on Computer Vision and Data Mining, ICCVDM 2024

作者： Zhang, Yifan Li, Peixuan School of Economics and Management Dalian University of Technology Dalian116024 China Business School Dalian University of Technology Panjin124221 China

ISBN: (纸本)9781510682863

Protecting privacy in image data has become increasingly crucial with the rise of digital media and information sharing. Effective classification of privacy-sensitive images is essential for implementing robust privacy protection systems. Based on the nature and sensitivity of the image data, this paper proposes a new classification method of privacy images on the basis of reviewing the current privacy data. For each class, this paper discusses the detection and corresponding data processing techniques based on traditional techniques (image blurring, image downscaling) and deep learning methods, to enhance the overall privacy protection system, Furthermore, this paper describes the challenges of this topic in diversity, complexity, law, and ethics. © 2024 SPIE.

关键词： Differential privacy

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A method of UAV image homography matrix estimation based on deep learning 16

A method of UAV image homography matrix estimation based on ...

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16th International conference on digital image processing, ICDIP 2024

作者： Mao, Yue Xue, Xiaorong Qu, Guangna Mariam, Iqra School of Electronics and Information Engineering Liaoning University of Technology Liaoning China

ISBN: (数字)9781510682917

ISBN: (纸本)9781510682900

Compared to conventional cameras, aerial images captured by UAVs primarily consist of small target images at a distance, exhibiting more complex information and richer detailed features. Traditional homography estimation tasks and existing deep learning methods often fail to fully exploit the shallow features of these images, resulting in limited accuracy when estimating homography for complex objects such as drones. Therefore, this paper proposes a deep learning-based method for estimating homography between image pairs. Specifically, we employ a feature extractor and a mask estimator to extract the feature map and mask of each image pair respectively. These maps are then multiplied together to obtain a weighted feature map that effectively highlights the regions contributing significantly to homography estimation. The weighted feature map is subsequently concatenated as the input of our homography estimator network, which incorporates both U-Net architecture and DLT layer as its backbone components. This integration enables accurate calculation of the homography matrix by effectively leveraging shallow features within the deep network structure. Experimental results demonstrate that our proposed method achieves superior accuracy in estimating the homography matrix compared to previous approaches. © 2024 SPIE.

关键词： Drones

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Fusion and integration pipelines for optical and chemical imaging data for clinical interpretation in ex-vivo diagnosis

Fusion and integration pipelines for optical and chemical im...

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conference on Data Science for Photonics and Biophotonics

作者： Rafsanjani, Mohd Rifqi Jirstrom, Karin Rahman, Arman Prehn, Jochen H. M. Gallagher, William Meade, Aidan D. Technol Univ Dublin Ctr Radiat & Environm Sci FOCAS Res Inst Dublin Ireland Technol Univ Dublin Sch Phys Clin & Optometr Sci Cent Quad City Campus Grangegorman Ireland Lund Univ Dept Clin Sci Div Oncol & Therapeut Pathol Lund Sweden Skane Univ Hosp Lund Sweden Univ Coll Dublin UCD Sch Biomol & Biomed Sci UCD Conway Inst Dublin Ireland Royal Coll Surgeons Ireland Dept Physiol & Med Phys 123 St Stephens Green Dublin 2 Ireland

ISBN: (纸本)9781510673410;9781510673403

In the realm of ex-vivo diagnosis, the integration of optical and chemical imaging data has emerged as a transformative approach, offering a comprehensive understanding of biological specimens at a molecular level. Chemical imaging of human tissue specimens provides an all-digital label-free approach to imaging in objective histopathology, though it requires reference to gold standard pathological (e.g. haematoxylin and eosin (H+E) stained) images for pathological interpretation. optical imaging techniques, such as microscopy and spectroscopy, provide detailed spatial information, capturing morphological features with high resolution. Concurrently, chemical imaging methods, including mass spectrometry and Raman spectroscopy, offer insights into molecular composition. The challenge lies in harnessing the complementary strengths of these disparate modalities to extract a holistic understanding of the sample. In this work we present the results of several image alignment approaches for fusion and integration of chemical and pathological imaging data, demonstrating that the process of corner detection is crucial towards precise image alignment.

关键词： image fusion image registration image segmentation Corner detection Imaging spectroscopy image processing Tissues Data fusion FT-IR spectroscopy

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Improving skin color accuracy in DLP-based 3D reconstruction 13

Improving skin color accuracy in DLP-based 3D reconstruction

引用

conference on Dimensional optical Metrology and Inspection for Practical Applications XIII

作者： Barrios, Erik Pineda, Jesus Romero, Lenny A. Millan, Maria S. Marrugo, Andres G. Univ Tecnol Bolivar Fac Ingn Cartagena Colombia Univ Nacl Abierta & Distancia Esc Ciencias Basicas Tecnol & Ingn Corozal Colombia Univ Tecnol Bolivar Fac Ciencias Basicas Cartagena Colombia Univ Politecn Cataluna Dept Opt & Optometria Terrassa Spain

ISBN: (纸本)9781510673953;9781510673946

Color accuracy is crucial in several domains such as biomedical imaging, cosmetics, and multimedia. digital Light processing (DLP) with LEDs has increasingly become a popular lighting source in 3D scanning systems. Although DLP provides advantages in 3D reconstruction, it poses challenges in maintaining color accuracy. Our research focused on using hybrid lighting to improve the color accuracy of DLP-based 3D sensing systems. We developed an empirical dataset featuring skin tones captured under multiple lighting environments, including variations in indoor ambient lighting. Through qualitative and quantitative evaluations of color differences, we conclude that including auxiliary lighting with DLP is beneficial for color accuracy, particularly in biomedical imaging and other applications in which color accuracy is essential.

关键词： Color accuracy digital Light processing (DLP) light sources image color processing

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A visual recognition method for structural deformation and foreign objects in operational subway tunnels

A visual recognition method for structural deformation and f...

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2024 International conference on optical and Photonic Engineering, icOPEN 2024

作者： Bai, Wenfeng Zhao, Ru Lin, Liangdai Luo, Haitao Liu, Zhifeng Sun, Dianjun Zhang, Qiang Chen, Wenjun Hu, Biao Guangzhou Metro Design and Research Institute Co. Ltd. Guangzhou510010 China Shenzhen Key Laboratory of intelligent Optical Measurement and Detection Shenzhen University Shenzhen518000 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China

ISBN: (数字)9781510688117

ISBN: (纸本)9781510688100

With the development of urban underground spaces, ensuring the safety of operational subway tunnels poses significant challenges. Among these challenges, tunnel structural deformation and foreign object detection are crucial components of safety protection. Visual measurement offers specific advantages such as non-contact operation, all-weather functionality, high precision, and real-time dynamics. This paper proposes a method based on computer vision for detecting structural deformation and foreign objects in operational subway tunnels. Firstly, current tunnel morphology data is obtained through monitoring cameras. Then, digital image processing techniques such as image denoising, feature segmentation, sub-pixel positioning, filtering, and displacement calculation are applied. By comparing the processed sequential data, deformation data such as subsidence changes and horizontal changes are obtained, and the presence of foreign objects is determined. Experimental results indicate that the proposed method can simultaneously identify tunnel structural deformation and foreign object intrusion. This addresses the limitations of existing technologies, which have singular monitoring functions and incomplete tunnel health assessment systems, thereby ensuring the safety of subway operations. © 2025 SPIE.

关键词： image segmentation

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Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach 6

Low-Data Classification of Historical Music Manuscripts: A F...

引用

6th IEEE International conference on image processing, Applications and Systems, IPAS 2025

作者： Shatri, Elona Raymond, Daniel Fazekas, Gyorgy Queen Mary University of London Centre for Digital Music London United Kingdom Queen Mary University of London Big Data Science London United Kingdom

ISBN: (纸本)9798331506520

In this paper, we explore the intersection of technology and cultural preservation by developing a self-supervised learning framework for the classification of musical symbols in historical manuscripts. optical Music Recognition (OMR) plays a vital role in digitising and preserving musical heritage, but historical documents often lack the labelled data required by traditional methods. We overcome this challenge by training a neural-based feature extractor on unlabelled data, enabling effective classification with minimal samples. Key contributions include optimising crop preprocessing for a self-supervised Convolutional Neural Network and evaluating classification methods, including SVM, multilayer perceptrons, and prototypical networks. Our experiments yield an accuracy of 87.66%, showcasing the potential of AI-driven methods to ensure the survival of historical music for future generations through advanced digital archiving techniques. © 2025 IEEE.

关键词： Self-supervised learning

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Analysis of the Fluence of Multi-sources DEM in Remote Sensing image Ortho-rectification

Analysis of the Fluence of Multi-sources DEM in Remote Sensi...

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2024 International conference on Remote Sensing, Mapping, and image processing, RSMIP 2024

作者： Liu, Rui Zhu, Jingxing Jiao, Niangang Wang, Feng You, Hongjian Xiang, Yuming Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Chinese Academy of Sciences Beijing100190 China Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9781510680012

digital Elevation Models (DEMs) depict the configuration of the Earth surface, which is essential for remote sensing image ortho-rectification. Nowadays, the ALOS DEM, ASTER GDEM and SRTM DEM are the most commonly used models, produced based on different remote sensing datasets. Geolocation errors may be introduced with different producing methods and datasets. Therefore, multi-sources remote sensing images covering various terrain in China are experimented for the analysis of ortho-rectification accuracy using different DEMs. Based on the rational function model, the geolocation error of original imagery can be reduced greatly with the grounds control points, and different DEMs are used for the ortho-rectification of different imagery. The accuracy is experimented and verified using high-precision reference images. Experimental results show that ortho-rectificated images with the ALOS DEM can achieve better accuracy compared with the SRTM DEM and ASTER GDEM, which is significant for geometric processing of remote sensing images. © 2024 SPIE.

关键词： Remote sensing

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