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检索条件"任意字段=Conference on Image Quality and System Performance XII"

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Analysis of image quality requirements for multispectral mirror systems 12

Analysis of image quality requirements for multispectral mir...

引用

conference on Optical Design and Testing xii

作者： Uvarova, Alla Bakholdin, Alexey ITMO Univ Kronverksky Ave 49 St Petersburg 197101 Russia

ISBN: (纸本)9781510656970;9781510656963

The paper presents an analysis of changes in image quality that occur in optical system with a spectral range shift. A basic system was designed for the visible range with the prospect of receiving objectives operating in the range from UV to IR. In the process of transition from the wavelength of 0,55 mu m to 0,2 mu m, a dramatic drop for initially diffraction quality system in the Strehl number by 1,5 times was found. However, since this criterion does not represent the features of the image quality drop, both Strehl and other computed image quality parameters (Rayleigh and Marechal criteria) cannot be recommended as universal requirements for systems with an unspecified spectral range. An assessing the multispectral system image quality by MTF is proposed. Based on this, conclusions about the initial requirements for image quality of multispectral systems can be acquired. The conclusions are made based on the experience of designing a Schwarzschild mirror objective with a numerical aperture of 0.8 for the range of 0,21-2 mu m.

关键词： microlens UV spectrum IR spectrum image quality requirements

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Learned NIR&VISCAM: multi-spectral fusion for large depth-of-field computational imaging 12

Learned NIR&VISCAM: multi-spectral fusion for large depth-of...

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conference on Optical Design and Testing xii

作者： Kou, Tingdong Shen, Junfei Zhang, Qican Chen, Wenjing Sichuan Univ Coll Elect & Informat Engn Chengdu 610065 Sichuan Peoples R China

ISBN: (纸本)9781510656970;9781510656963

Large DOF (depth-of-field) with high SNR (signal-noise-ratio) imaging plays an important role in many applications such as unmanned driving to medical imaging. However, there is always a trade-off between DOF and SNR in traditional optical design. In this paper, we propose a NIR&VISCAM (NIR&VIS Camera) that combines multi-spectral optical design and deep learning to realize large DOF and high SNR imaging. Specifically, a multi-spectral optical imaging system based on the HVS (human visual system) is designed to provide colorful but small DOF VIS (visible) image and large DOF NIR (near-infrared) image. To achieve DOF extension, we build a fusion network NIR&VISNet consisting of a VIS encoder for color extraction, a NIR encoder for spatial details extraction and a decoder for information fusion. We establish a prototype to capture real-scene dataset containing 1000 sets and test our method on a variety of test samples. The experimental results demonstrate that our NIR&VISCAM can effectively produce large DOF images with high quality. Moreover, compared to the classic image fusion methods, our designed algorithm achieves the optimal performance in DOF extension and color fidelity. With the prominent performance in large DOF and high SNR imaging, this novel and portable system is promising for vision applications such as smartphone photography, industry detection, and life medical.

关键词： Depth-of-field extension Computational imaging NIR-VIS image fusion Dual aperture imaging

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An image Acquisition Scheme for Visual Odometry based on image Bracketing and Online Attribute Control

An Image Acquisition Scheme for Visual Odometry based on Ima...

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IEEE International conference on Robotics and Automation (ICRA)

作者： Zhang, Shuyang He, Jinhao Xue, Bohuan Wu, Jin Yin, Pengyu Jiao, Jianhao Liu, Ming Hong Kong Univ Sci & Technol Dept Elect & Comp Engn Clear Water Bay Hong Kong Peoples R China Hong Kong Univ Sci & Technol Guangzhou Thrust Robot & Autonomous Syst Guangzhou Peoples R China Nanyang Technol Univ Sch Elect & Elect Engn Ctr Adv Robot Technol Innovat CARTIN Singapore Singapore UCL Dept Comp Sci Gower St London WC1E 6BT England

ISBN: (纸本)9798350384581;9798350384574

Visual odometry (VO) system is challenged by complex illumination environments. image quality and its consistency in the time domain directly determine feature detection and tracking performance, which further affect the robustness and accuracy of the entire system. In this paper, an image acquisition scheme with image bracketing patterns is proposed. images with different exposure levels are continuously captured to sufficiently explore the scene under varying illumination. An attribute control method is designed to adjust image exposures within the brackets online. Gaussian process regression fits the relationship between image quality metric and exposure via image synthesis technique. The optimal exposures for the next bracket are obtained directly without attempts to ensure a quick response. Experiments show our acquisition system's effectiveness and performance improvement for VO tasks in complex illumination scenes.

关键词： image quality

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Correlations between wavefront data and image quality metrics in toleranced high-performance imaging systems 14

Correlations between wavefront data and image quality metric...

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conference on Optical Modeling and performance Predictions XIV

作者： Hamilton, R. J. Larrategui, Martin Tangari Johnson, Lee Densmore, Victor E., III Stuhlinger, Tilman Castle, Kenneth R. Medicus, Kate Ruda Opt 3280 E Hemisphere Loop 180 Tucson AZ 85706 USA

ISBN: (纸本)9781510679184;9781510679191

Ruda designs high performance imaging systems to meet difficult mission requirements, but these nearly diffraction limited systems often have small margins between the image quality of the nominal design and the required performance of the as-built system. Due to this we may spend significant resources designing and operating specialized test setups to ensure that results of MTF and ensquared energy (EE) measurements are well-calibrated and accurate. Alternatively, wavefront measurements - like those captured by wavefront sensors and interferometers - can be taken of the system to characterize the quality of the as-built system. Wavefront measurements are typically higher resolution, faster to setup, and quicker to measure than image quality metrics, making them particularly attractive for use when validating as-built system quality. Since the wavefront is related to the point spread function, and thereby the image quality, different wavefront measurements can contain information about the system MTF and EE. Thus, if the relationship between the wavefront and image quality metrics of interest can be established for an as-built system, it is possible to supplement or fully validate MTF and EE requirements from wavefront measurements. To investigate this relationship, we used Zemax OpticStudio to generate toleranced Monte Carlo trials of two nearly diffraction limited imaging systems designed by Ruda. The Monte Carlo models were then analyzed to form large data sets for statistical analysis. For wavefront data, the simulation produces single pass and double pass wavefront Zernike decompositions as well as wavefront root mean squared error over a range of object fields and visible wavelengths. For image quality data, the MTF at three spatial frequencies and the EE at two integration lengths are computed for the same fields and wavelengths as the wavefront data. These data sets are then processed to demonstrate that high degrees of correlation can exist between wavefron

关键词： Optical Testing MTF Ensquared Energy Wavefront Sensing Interferometry Tolerancing

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Blind image quality Assessment Based on Human Visual Perception 24

Blind Image Quality Assessment Based on Human Visual Percept...

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6th International conference on Video Signal and image Processing

作者： Xia, Tianfeng Zhao, Yongcan Yang, Gangqiang Chen, Lei Shandong Univ Sch Informat Sci & Engn Qingdao Shandong Peoples R China

ISBN: (纸本)9798400709647

The human visual system (HVS) is important for guiding the blind image quality assessment method (BIQA). Inspired by the free-energy principle, an NR-IQA method that simulates human visual perception is proposed. The whole model consists of an image restoration network and a multi-stream quality prediction network. Firstly, the distorted image is fed into the image restoration network to generate the restored images and discrepancy map, in which the quality perception constraint and the structural similarity discrepancy map-based constraint are both considered during the optimization to improve the recovery performance. Then, the distorted images, the restored images, and the perceptual discrepancy maps are utilized as inputs for the multi-stream quality prediction network to obtain their fused features. Finally, the fused features are input into the patch-based attention module to obtain the final image patch scores. Extensive experiments demonstrate that our proposed model is effective and achieves competitive performance when compared with other related state-of-the-art methods.

关键词： image quality assessment Human visual system image restoration

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Construction of Interactive Construction Progress and quality Monitoring system Based on image Processing

Construction of Interactive Construction Progress and Qualit...

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2024 International conference on Telecommunications and Power Electronics, TELEPE 2024

作者： Wu, Wei Fushun Vocational and Technical College Liaoning Fushun113122 China

ISBN: (数字)9798350369212

ISBN: (纸本)9798350369212

The purpose of this study is to build an interactive construction progress and quality monitoring system based on image processing, so as to improve the monitoring efficiency and quality management level of the construction site. The system uses advanced deep learning algorithm to realize automatic recognition, progress prediction and quality inspection of construction site images. In terms of system design, this study proposes a modular system architecture, including data acquisition, image processing, progress monitoring, quality inspection, interactive interface and data storage management. Through the design, implementation and experimental verification of the system, this study proves that the system can effectively monitor the progress of the construction site, find quality problems, and provide users with real-time monitoring reports and improvement suggestions. The experimental results show that the system has good monitoring effect and performance in different scenarios, which provides a brand-new digital solution for construction management. © 2024 IEEE.

关键词： Project management

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Patient-specific NEQ(f): Automatic local and global determination of spatial-frequency-dependent SNR and task performance in clinical CT

Patient-specific NEQ(f): Automatic local and global determin...

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conference on Medical Imaging - Physics of Medical Imaging

作者： Pillai, Parvathy S. Siewerdsen, Jeffrey H. Rypinski, Tatiana Deva, Anshuj Soni, Bhavin Jones, A. Kyle Ahmad, Moiz Univ Texas MD Anderson Canc Ctr Dept Imaging Phys 1515 Holcombe Blvd Houston TX 77030 USA

ISBN: (纸本)9781510671553;9781510671546

Phantom-based quality control, the current standard of QC in medical imaging, calibrates image quality at a population level, but does not account for the influence of patient variation on quality. In this work, we present a method to evaluate task-based image quality directly in individual clinical CT exams. Noise power spectrum (NPS) is measured in selected local image regions satisfying linearity and noise stationarity constraints, and globally over the volumetric image. Together with a semi-empirical model of image resolution, NPS is used to calculate noise-equivalent quanta (NEQ), a fundamental metric of image fidelity and information content. The NEQ may be extended to task-based detectability (d') via a specified task function and model observer. We show that this method can: 1) elucidate intra-patient variations in signal detectability, and 2) task performance variations across a patient population. The method may be implemented in a hospital-wide online system that monitors imaging performance in CT exams in real-time.

关键词： computed tomography image quality quality control patient-specific task-based performance model observer

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Research on the Application of Multi-Channel Display Technology in Virtual Scene image Generation 5

Research on the Application of Multi-Channel Display Technol...

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5th IEEE International conference on Power, Electronics and Computer Applications, ICPECA 2025

作者： Liu, Yuanlin Wang, Lingling Haikou University of Economics Haikou571127 China

ISBN: (纸本)9798331533694

This study proposes an innovative algorithm based on DCNN and multi-channel image fusion, aiming to improve the quality and efficiency of virtual scene image generation. The algorithm extracts depth information and texture features in virtual scenes through DCNN, and combines multi-channel image fusion technology to optimize and fuse the information of different image channels (such as color, depth, normal, etc.), thereby significantly improving the image rendering effect. Through adaptive weight adjustment and image fusion strategy, the image detail performance is optimized, especially in scenes with complex lighting and rich textures, the rendering quality is significantly improved. Experimental results show that the image generation system based on this algorithm improves image quality by 15%, rendering speed by 25%, and computing resource consumption by 20%. When processing highly complex virtual scenes, the system can achieve real-time rendering and meet the performance requirements of VR and AR applications. This study provides a new and efficient solution for image generation in virtual reality and augmented reality, and demonstrates the great potential of combining multi-channel display technology with deep learning in improving rendering effects. © 2025 IEEE.

关键词： Virtual environments

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ARCHITECTURAL GENERATIVE MODEL EVALUATION METHODS: image quality ASSESSMENT METRICS AND EXPERT-BASED APPROACH 29th

ARCHITECTURAL GENERATIVE MODEL EVALUATION METHODS: IMAGE QUA...

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29th International conference of the Association-for-Computer-Aided-Architectural-Design-Research-in-Asia (CAADRIA)

作者： Lin, Ying Ye, Fei Xian Univ Architecture & Technol Xian Peoples R China

ISBN: (纸本)9789887891819

The feasibility of using machine learning methods to generative architectural design solutions has been widely recognized as an effective in enhancing innovation, diversity, and efficiency of solutions. However, in generative design methods, the accuracy and quality of design results often rely on empirical evaluation of expert, which is challenging to evaluate and quantify by unified standards. This paper proposes a comprehensive method for evaluating model performance in architectural design tasks. The evaluation is based on computational criteria (i.e., FID, IS, SIMM indicators) and expert system criteria. The computational metrics will measure the distance, diversity, and similarity between the feature vectors of the real image and the generated image. In contrast, the expert criteria will measure the accuracy, intentionality, and rationality of the layout scheme. This study applies this framework to evaluate three widely used generative models in architectural design: GANs, Diffusion Models, and VAE. The framework also guides the optimization of generative models in architectural applications and assists architects in validating generative outcomes with more efficient workflows.

关键词： Deep Learning Generate Design Evaluation Metrics Campus Planning

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Comparative analysis of optical system configurations for enhanced retinal imaging in smartphone-based fundus cameras

Comparative analysis of optical system configurations for en...

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2024 International conference on Interdisciplinary Physics, ICIPs 2024

作者： Rosyadah, Aprina Nasution, Aulia M.T. Surabaya Indonesia

This paper presents a comparative study on the optical system design for a smartphone-based fundus camera to enhance retinal imaging quality. Three optical system configurations were evaluated using ANSYS Zemax OpticStudio 2024 R1 software: Design I (20D aspheric lens), Design II (40D aspheric lens), and Design III (60D aspheric lens). The optical systems were evaluated by analysing: (i) the illumination path from the light source to the retina, and (ii) the imaging path from the retina to the smartphone camera's sensor. The results were evaluated using image metric quantities, including the spot diagram, transverse ray fan plot, and TTF MTF vs Field, to represent the image quality of each optical system. Additionally, the illumination and imaging paths were analysed to assess the overall image quality. The findings indicated that Design III, with the 60D aspheric lens, demonstrated superior image quality in terms of spot diagram, ray fan plot, and MTF performance, making it the most effective design. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Ophthalmology

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