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Perception-entropy-driven temporal reusing for real-time ray tracing

Optoelectronics Letters 2025年第6期21卷 378-384页

作者： SHEN Zhongye CHEN Chunyi YAO Weixun YU Haiyang PENG Jun School of Computer Science and Technology Changchun University of Science and Technology

Although ray tracing produces high-fidelity, realistic images, it is considered computationally burdensome when implemented on a high rendering rate system. Perception-driven rendering techniques generate images with minimal noise and distortion that are generally acceptable to the human visual system, thereby reducing rendering costs. In this paper, we introduce a perception-entropy-driven temporal reusing method to accelerate real-time ray tracing. We first build a just noticeable difference(JND) model to represent the uncertainty of ray samples and image space masking effects. Then, we expand the shading gradient through gradient max-pooling and gradient filtering to enlarge the visual receipt field. Finally, we dynamically optimize reusable time segments to improve the accuracy of temporal reusing. Compared with Monte Carlo ray tracing, our algorithm enhances frames per second(fps) by 1.93× to 2.96× at 8 to 16 samples per pixel, significantly accelerating the Monte Carlo ray tracing process while maintaining visual quality.

关键词： A

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Rendered image denoising method with filtering guided by lighting information

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Optoelectronics Letters 2025年第4期21卷 242-248页

作者： MA Minghui HU Xiaojuan ZHANG Ripei CHEN Chunyi YU Haiyang School of Computer Science and Technology Changchun University of Science and TechnologyChangchun 130022China

The visual noise of each light intensity area is different when the image is drawn by Monte Carlo ***,the existing denoising algorithms have limited denoising performance under complex lighting conditions and are easy to lose detailed *** we propose a rendered image denoising method with filtering guided by lighting ***,we design an image segmentation algorithm based on lighting information to segment the image into different illumination ***,we establish the parameter prediction model guided by lighting information for filtering(PGLF)to predict the filtering parameters of different illumination *** different illumination areas,we use these filtering parameters to construct area filters,and the filters are guided by the lighting information to perform sub-area ***,the filtering results are fused with auxiliary features to output denoised images for improving the overall denoising effect of the *** the physically based rendering tool(PBRT)scene and Tungsten dataset,the experimental results show that compared with other guided filtering denoising methods,our method improves the peak signal-to-noise ratio(PSNR)metrics by 4.2164 dB on average and the structural similarity index(SSIM)metrics by 7.8%on *** shows that our method can better reduce the noise in complex lighting scenesand improvethe imagequality.

关键词： establish paramet rendered image denoising Monte Carlo method filtering guided lighting information denoising algorithms image segmentation algorithm rendered image denoising method monte carlo methodhoweverthe

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PBCounter:weighted model counting on pseudo-boolean formulas

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Frontiers of computer science 2025年第3期19卷 55-63页

作者： Yong LAI Zhenghang XU Minghao YIN College of Computer Science and Technology Jilin UniversityChangchun 130012China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchun 130012China School of Computer Science and Information Technology Northeast Normal UniversityChangchun 130017China

In Weighted Model Counting(WMC),we assign weights to literals and compute the sum of the weights of the models of a given propositional formula where the weight of an assignment is the product of the weights of its *** current WMC solvers work on Conjunctive Normal Form(CNF)***,CNF is not a natural representation for human-being in many *** by the stronger expressive power of Pseudo-Boolean(PB)formulas than CNF,we propose to perform WMC on PB *** on a recent dynamic programming algorithm framework called ADDMC for WMC,we implement a weighted PB counting tool *** compare PBCounter with the state-of-the-art weighted model counters SharpSAT-TD,ExactMC,D4,and ADDMC,where the latter tools work on CNF with encoding methods that convert PB constraints into a CNF *** experiments on three domains of benchmarks show that PBCounter is superior to the model counters on CNF formulas.

关键词： weighted model counting pseudo-boolean constraint algebraic decision diagrams preprocessing techniques

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A recover-then-discriminate framework for robust anomaly detection

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science China(Information sciences) 2025年第4期68卷 300-318页

作者： Peng XING Dong ZHANG Jinhui TANG Zechao LI School of Computer Science and Engineering Nanjing University of Science and Technology Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology

Anomaly detection(AD) has been extensively studied and applied across various scenarios in recent years. However, gaps remain between the current performance and the desired recognition accuracy required for practical *** paper analyzes two fundamental failure cases in the baseline AD model and identifies key reasons that limit the recognition accuracy of existing approaches. Specifically, by Case-1, we found that the main reason detrimental to current AD methods is that the inputs to the recovery model contain a large number of detailed features to be recovered, which leads to the normal/abnormal area has not/has been recovered into its original state. By Case-2, we surprisingly found that the abnormal area that cannot be recognized in image-level representations can be easily recognized in the feature-level representation. Based on the above observations, we propose a novel recover-then-discriminate(ReDi) framework for *** takes a self-generated feature map(e.g., histogram of oriented gradients) and a selected prompted image as explicit input information to address the identified in Case-1. Additionally, a feature-level discriminative network is introduced to amplify abnormal differences between the recovered and input representations. Extensive experiments on two widely used yet challenging AD datasets demonstrate that ReDi achieves state-of-the-art recognition accuracy.

关键词： recovery network HOG prompt discriminative network self-correlation loss anomaly detection

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Rendering acceleration method based on JND and sample gradient

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Optoelectronics Letters 2025年第3期21卷 177-182页

作者： ZHANG Ripei CHEN Chunyi School of Computer Science and Technology Qinghai Normal UniversityXining810016China School of Computer Science and Technology Changchun University of Science and TechnologyChangchun130022China

Currently,the main idea of iterative rendering methods is to allocate a fixed number of samples to pixels that have not been fully rendered by calculating the completion *** is obvious that this strategy ignores the c... 详细信息

关键词： iterative rendering pixel values allocate fixed number samples completion rateit iterative rendering methods changes pixel values iterative operations completion rate

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Dual-functional Cu_(2)O/g-C_(3)N_(4) heterojunctions: a high-performance SERS sensor and photocatalytic self-cleaning system for water pollution detection and remediation

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Microsystems & Nanoengineering 2024年第6期10卷 325-340页

作者： Shuo Yang Kaiyue Li Ping Huang Keyan Liu Wenhui Li Yuquan Zhuo Ziwen Yang Donglai Han School of Materials Science and Engineering Changchun University130022 ChangchunChina Laboratory of Materials Design and Quantum Simulation College of Science Changchun University 130022 ChangchunChina School of Materials Science and Engineering Changchun University of Science and Technology130022 ChangchunChina

This study introduces a multifunctional device based on Cu_(2)O/g-C_(3)N_(4) monitoring and purification p–n heterojunctions(MPHs),seamlessly integrating surface-enhanced Raman scattering(SERS)detection with photocatalytic degradation *** SERS and photocatalytic performances of the Cu_(2)O in various morphologies,g-C_(3)N_(4) nanosheets(NSs)and Cu_(2)O/g-C_(3)N_(4) MPHs with different g-C_(3)N_(4) mass ratios were systematically evaluated,with a particular emphasis on the Cu_(2)O/g-C_(3)N_(4)-0.2 MPH,where g-C_(3)N_(4) constituted 20%of the total *** optical and electrochemical tests revealed that the Cu_(2)O/g-C_(3)N_(4)-0.2 MPH effectively enhances charge separation and reduces charge transfer *** Cu_(2)O/g-C_(3)N_(4)-0.2 SERS sensor exhibited a relative standard deviation(RSD)below 15%and achieved an enhancement factor(EF)of 2.43×106 for 4-ATP detection,demonstrating its high sensitivity and ***,it demonstrated a 98.3%degradation efficiency for methyl orange(MO)under visible light within 90 ***,even after 216 days,its photocatalytic efficiency remained at 93.7%,and it retained an 84.0%efficiency after four *** and SEM analyses before and after cycling,as well as after 216 days,confirmed the structural and morphological stability of the composite,demonstrating its cyclic and long-term *** excellent performance of the Cu_(2)O/g-C_(3)N_(4) MPH is attributed to its Z-type mechanism,as verified by radical trapping *** evaluation of the self-cleaning performance of the Cu_(2)O/g-C_(3)N_(4)-0.2 SERS sensor demonstrated that its Z-scheme structure not only provides excellent self-cleaning capability but also enables the detection of both individual and mixed pollutants,while significantly enhancing the SERS signal response through an effective charge transfer enhancement mechanism.

关键词： mechanism stability performance

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Analysis and inversion of target polarization characteristics based on pBRDF

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Journal of Systems engineering and Electronics 2024年第5期35卷 1073-1083页

作者： GU Xiansong FU Qiang WANG Liya LIU Xuanwei FAN Xinyu DUAN Jin LI Yingchao School of Optical Engineering Beijing University of TechnologyBeijing 100081China School of Optoelectronic Engineering Changchun University of Science and TechnologyChangchun 130022China

Imaging detection is an important means to obtain target *** traditional imaging detection technology mainly collects the intensity information and spectral information of the target to realize the classification of the *** practical applications,due to the mixed scenario,it is difficult to meet the needs of target *** with intensity detection,the method of polarization detection can effectively enhance the accuracy of ground object target recognition(such as the camouflage target).In this paper,the reflection mechanism of the target surface is studied from the microscopic point of view,and the polarization characteristic model is established to express the relationship between the polarization state of the reflected signal and the target surface *** polarization characteristic test experiment is carried out,and the target surface parameters are retrieved using the experimental *** results show that the degree of polarization(DOP)is closely related to the detection zenith angle and azimuth ***(DOP)of the target is the smallest in the direction of light source incidence and the largest in the direction of specular *** materials have different polarization *** comparing their DOP,target classification can be achieved.

关键词： polarization detection polarization degree zenith angle azimuth angle target classification.

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Limb movement detection and analysis based on visual recognition of human posture

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Discover Artificial Intelligence 2025年第1期5卷 1-12页

作者： Xiao, Zhiguo Wang, Chunxiang Ding, Tianjiao Shen, Xiangfeng Li, Xinyuan Li, Dongni School of Computer Science & Technology Beijing Institute of Technology Beijing100811 China School of Computer Science Technology Changchun University Changchun130022 China

Current motion detection and evaluation technologies face challenges such as limited scalability, imprecise feedback, and lack of personalized guidance. To address these challenges, this research integrated efficient BlazePose technology with pioneering DW_KNN* algorithm, resulting in the remarkable accuracy of 98.2% in action recognition and showcasing outstanding scalability. Furthermore, the established ACLstm time series prediction model could comprehensively analyze historical sports data and associated factors of users. In Rehab dataset, MAE(Mean Absolute Error, MAE) loss was 1.383 for motion count and 0.508 for motion time. This innovative framework delivered precise feedback and tailored guidance for physical exercise and medical rehabilitation. © The Author(s) 2025.

关键词： Time series

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Enhanced Acceleration for Generalized Nonconvex Low-Rank Matrix Learning

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Chinese Journal of Electronics 2025年第1期34卷 98-113页

作者： Hengmin Zhang Jian Yang Wenli Du Bob Zhang Zhiyuan Zha Bihan Wen School of Electrical and Electronic Engineering Nanyang Technological University School of Computer Science and Engineering Nanjing University of Science and Technology School of Information Science and Engineering East China University of Science and Technology Department of Electrical and Computer Engineering University of Macau

Matrix minimization techniques that employ the nuclear norm have gained recognition for their applicability in tasks like image inpainting, clustering, classification, and reconstruction. However, they come with inherent biases and computational burdens, especially when used to relax the rank function, making them less effective and efficient in real-world scenarios. To address these challenges, our research focuses on generalized nonconvex rank regularization problems in robust matrix completion, low-rank representation, and robust matrix regression. We introduce innovative approaches for effective and efficient low-rank matrix learning, grounded in generalized nonconvex rank relaxations inspired by various substitutes for the ?0-norm relaxed functions. These relaxations allow us to more accurately capture low-rank structures. Our optimization strategy employs a nonconvex and multi-variable alternating direction method of multipliers, backed by rigorous theoretical analysis for complexity and *** algorithm iteratively updates blocks of variables, ensuring efficient convergence. Additionally, we incorporate the randomized singular value decomposition technique and/or other acceleration strategies to enhance the computational efficiency of our approach, particularly for large-scale constrained minimization problems. In conclusion, our experimental results across a variety of image vision-related application tasks unequivocally demonstrate the superiority of our proposed methodologies in terms of both efficacy and efficiency when compared to most other related learning methods.

关键词： Learning systems Image recognition Minimization Computational efficiency Complexity theory Matrix decomposition Optimization Image reconstruction Singular value decomposition Convergence

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PriChain: Efficient Privacy-Preserving Fine-Grained Redactable Blockchains in Decentralized Settings

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Chinese Journal of Electronics 2025年第1期34卷 82-97页

作者： Hongchen Guo Weilin Gan Mingyang Zhao Chuan Zhang Tong Wu Liehuang Zhu Jingfeng Xue School of Computer Science and Technology Beijing Institute of Technology School of Cyberspace Science and Technology Beijing Institute of Technology School of Computer and Communication Engineering University of Science and Technology Beijing

Recently, redactable blockchain has been proposed and leveraged in a wide range of real systems for its unique properties of decentralization, traceability, and transparency while ensuring controllable on-chain data redaction. However, the development of redactable blockchain is now obstructed by three limitations, which are data privacy breaches, high communication overhead, and low searching efficiency, respectively. In this paper, we propose PriChain, the first efficient privacy-preserving fine-grained redactable blockchain in decentralized settings. PriChain provides data owners with rights to control who can read and redact on-chain data while maintaining downward compatibility, ensuring the one who can redact will be able to read. Specifically, inspired by the concept of multi-authority attribute-based encryption, we utilize the isomorphism of the access control tree, realizing fine-grained redaction mechanism, downward compatibility, and collusion resistance. With the newly designed structure, PriChain can realize O（n） communication and storage overhead compared to prior O（n2） schemes. Furthermore, we integrate multiple access trees into a tree-based dictionary, optimizing searching efficiency. Theoretical analysis proves that PriChain is secure against the chosen-plaintext attack and has competitive complexity. The experimental evaluations show that PriChain realizes 10× efficiency improvement of searching and 100× lower communication and storage overhead on average compared with existing schemes.

关键词： Resistance Access control Data privacy Dictionaries Blockchains Encryption Complexity theory Usability Protection

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