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A Digital Readout Integrated Circuit Based on Pixel-Level ADC Incorporating On-Chip image algorithm Calibration for IRFPA

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IEEE SENSORS JOURNAL 2023年第18期23卷 21747-21756页

作者： Zeng, Yan Yang, Shiheng Liu, Yueduo Bao, Rongxin Zhu, Zihao Lin, Jiahui Zhou, Xiong Chen, Yong Yin, Jun Mak, Pui-In Li, Qiang Univ Elect Sci & Technol China UESTC Sch Elect Sci & Engn Chengdu 610054 Peoples R China Univ Macau State Key Lab Analog & Mixed Signal VLSI Macau Peoples R China Univ Macau Dept ECE Fac Sci & Technol Macau Peoples R China

This article presents a digital readout integrated circuit (DROIC) with fully ON-chip image algorithm calibration based on the pixel-level 18-bit analog-to-digital converter (ADC) for infrared focal plane array (IRFPA) applications. Such ON-chip calibrations include bad pixel compensation, nonuniformity correction, and background subtraction, which are implemented to avoid ON-chip memory storage for saving power and area. The proposed DROIC was fabricated in a standard 40-nm CMOS process, and it features a 640 x 512 array size with a 30-mu m pixel pitch. The power consumption of a single-pixel ADC is less than 0.7 mu W under a supply of 1.1 V. The data rate and the dynamic range are improved and it achieved a noise equivalent differential temperature (NEDT) of 1.8 mK and a peak signal-to-noise ratio (SNR) of 90.1 dB. A test comparison exhibits that the image quality is improved significantly when the calibration is enabled. It is the highest integration level reported DROIC, with fully ON-chip calibration and image-quality enhancement algorithm.

关键词： Bad pixel compensation background subtraction digital readout integrated circuit (DROIC) infrared focal plane arrays (IRFPAs) image algorithm nonuniformity correction pixel analog-to-digital converter (ADC)

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Design of A Progressive image Compression algorithm and Its Implementation on Multilevel Archives Management System 7

Design of A Progressive Image Compression Algorithm and Its ...

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IEEE 7th International Workshop on Radio Frequency and Antenna Technologies (IEEE IWRF and AT)

作者： Zhang, Zhi Guo, Xin Dong, Peijing Yin, Liuguo Tsinghua Univ Dept Elect Engn Beijing Peoples R China Beijing HASNG Technol Co LTD Beijing Peoples R China Tsinghua Univ Natl Res Ctr Infor Sci & Tech Beijing Peoples R China

ISBN: (纸本)9798350384765;9798350384772

According to the stipulations set forth in the Archives Law of the People's Republic of China, the Digitalization Specification for Paper Archives (DA/T31-2017), and other pertinent legal norms, the reliability of electronic-archive sources necessitates strict adherence to standardized procedures and specific elements. Notably, the scanning of paper archives into an electronic format requires a specific scanning resolution. However, using a higher scanning resolution inevitably results in considerably larger file sizes for the scanned electronic-archive images. This challenge is exacerbated when numerous users concurrently access archives, consuming a large amount of network resources and bandwidth. The resultant network communication congestion directly affects the overall user experience during archive exploration. In response to this challenge, this paper introduces an innovative progressive compression algorithm designed for bitmap image processing within the multilevel management system of electronic archives. This cutting-edge method significantly improves the compression ratio of electronicarchive images compared with conventional approaches. As a result, it alleviates the strain on network resources, optimizing the user browsing experience for electronic archives.

关键词： electronic archives image algorithm network

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A smartphone-based rapid quantitative detection platform for lateral flow strip of human chorionic gonadotropin with optimized image algorithm

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MICROCHEMICAL JOURNAL 2020年 157卷 105038-105038页

作者： Zhang, Ting Wang, Hai-Bo Zhong, Zi-Tao Li, Chao-Qing Chen, Wei Liu, Bo Zhao, Yuan-Di Huazhong Univ Sci & Technol Hubei Bioinformat & Mol Imaging Key Lab Britton Chance Ctr Biomed PhotonDept Biomed Engn Wuhan Natl Lab OptoelectColl Life Sci & Technol Wuhan 430074 Hubei Peoples R China Huazhong Univ Sci & Technol Minist Educ Key Lab Biomed Photon HUST Wuhan 430074 Hubei Peoples R China

Colloidal gold immunochromatographic test strip has been widely used as a rapid, simple and low-cost correct detection technology. However, its detection is often qualitative or semi-quantitative, which limits its clinical application to some extent. Herein, a portable test strip quantitative detection device based on smartphone to detect human chorionic gonadotropin (HCG) is developed. In experiment, a colloidal gold HCG detection strip based on antigen antibody immune response is constructed, and the quantitative results of three different image processing methods on the same strip detection are compared, including the threshold processing algorithm based on location information, the RGB color component extraction algorithm and the grayscale projection value processing algorithm, the results show that the last algorithm can realize the best recognition of the region of interest of strip. The mobile phone application software (App) based on this design shows that the detection limit of constructed colloidal gold HCG strip is 3 ng/mL with a linear range of 6-300 ng/mL. The detection result of real urine sample is consistent with the spiked concentration (R-2 = 0.988), indicating that the concentration of HCG can be accurately measured in urine with this method, presenting the potential for instant diagnosis.

关键词： Lateral flow strip Human chorionic gonadotropin image algorithm Smartphone App Quantitative detection

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A review of digital image processing techniques for optical tweezers: from algorithms to applications

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JOURNAL OF MODERN OPTICS 2025年

作者： Tang, Weijie Zhou, Ruohan Hu, Sheng Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China Hebei Key Lab Micronano Precis Opt Sensing & Measu Qinhuangdao 066004 Peoples R China

As a ubiquitous manipulation tool, optical tweezers are widely used in biochemistry and applied physics, so that a wide range of microscopic and nanoscopic particles could be investigated. In recent years, digital image processing techniques for improving target particle observation have diversified, leading to the development of numerous automatic tasks. The technique was developed in response to the need for multi-particle manipulation and feature detection. Here we describe how digital image processing can be used to enhance the capabilities of optical manipulation. In particular, cutting-edge image processing techniques that rely on artificial intelligence development are making optical trapping more widely accessible and enabling automatic manipulation of microscopic and nanoscopic particles.

关键词： Optical tweezers image processing machine vision image algorithm artificial intelligence

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Nanothermometer for In Vivo Temperature Detection with High Spatial Resolution Based on Core-Shell Rare Earth Nanoparticles

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ACS APPLIED NANO MATERIALS 2023年第24期6卷 23173-23183页

作者： Sun, Yishuo Kong, Mengya Ke, Jiaming Yuan, Wei Wen, Chenqing Gu, Yuyang Luo, Shihua Feng, Wei Fudan Univ Dept Chem State Key Lab Mol Engn Polymers Shanghai 200433 Peoples R China Shanghai Jiao Tong Univ Ruijin Hosp Sch Med Dept Traumatol Shanghai 200025 Peoples R China

Temperature is a basic physical parameter in living organisms that directly relates to the physiological state of the body. The demand for in vivo temperature detection is expected to obtain accurate temperature signals with high spatial resolution. We propose a strategy of constructing and encapsulating the temperature probe (NaNdF4:7%Yb,33%Y) and high-resolution imaging probe (NaYbF4:2%Er,2%Ce) in identical rare earth nanoparticles to attain in vivo temperature detection with high spatial resolution. The temperature probe acquires temperature feedback based on the luminescence lifetime signal which is used for accurate temperature acquisition with a thermal sensitivity of 1.94% K-1 and uncertainty of 0.05 K at 25.8 degrees C. The intensity-based imaging probe with emission wavelength in NIR-IIb is introduced to attain a high-resolution image with a signal-to-noise ratio of 2.5 times that of the temperature probe in NIR-I. Hence, the high-resolution image serves as the luminescence location image for the temperature distribution image attained by the temperature probe. On the basis of obtaining the temperature signal and high-resolution imaging signal, the image algorithm is designed for the superposition of the temperature image and high-resolution image. Ultimately, the dual-dimensional signals acquired by optical detection are superimposed by the image algorithm to obtain high-resolution temperature mapping.

关键词： rare earth nanothermometer temperature detection high-resolution imaging vascular imaging image algorithm

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Parametric modeling of 2.5D woven composites based on computer vision feature extraction

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COMPOSITE STRUCTURES 2023年第1期321卷

作者： Guo, Chun Zhang, Hongjian Wang, Yilin Jia, Yunfa Qi, Lu Zhu, Yakun Cui, Haitao Nanjing Univ Aeronaut & Astronaut Coll Energy & Power Engn Nanjing 210016 Jiangsu Peoples R China Nanjing Univ Aeronaut & Astronaut Aeroengine Thermal Environm & Struct Key Lab Minist Ind & Informat Technol Nanjing 210016 Jiangsu Peoples R China Nanjing Univ Aeronaut & Astronaut State Key Lab Mech & Control Mech Struct Nanjing 210016 Jiangsu Peoples R China

The aim of this paper is to develop a comprehensive modeling strategy for creating a realistic representative volume element (RVE) of 2.5D woven composites. The strategy consists of two main parts: the extraction of geometric feature parameters and the establishment of a parametric voxel-mesh full-cell model (VFM). Firstly, a neural network model is constructed to achieve an accurate segmentation of yarn cross-sections from X-ray computed tomography (XCT) images. Secondly, geometric feature parameters are then extracted from the segmentation results using image algorithms. Finally, a parametric modeling method is proposed to establish the VFM of the material. To evaluate the performance of the VFM, its structural sizes, overall fiber volume fraction (FVF), and stiffness prediction accuracy are assessed. The comparison results indicate that the VFM achieves a fine mesoscale characterization and a high stiffness prediction accuracy.

关键词： 2 5D woven composites Deep learning image algorithm Parametric modeling Voxel-mesh full-cell model

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Overview of Research Progress of Digital image Processing Technology

Overview of Research Progress of Digital Image Processing Te...

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作者： Yitao Huang Department of Electronic Science and TechnologyTongji University

Digital image processing technology has gone through rapid development and is extensively applied in daily life and production, with the rapid development of modern information technology. It plays an inestimable role in remote sensing, medicine, recognition and other fields. This paper briefly introduces the basic concept of digital image processing,summarizes and analyses the commonly used digital image processing technology and the latest scientific research achievements from four aspects, and puts forward the future development direction of digital image processing. In the future, it will pay more attention to artificial intelligence algorithms and achieve better processing results by optimizing the logical *** using the simplified image algorithm, the application scope of digital image processing will gradually expand, and will develop in the direction of miniaturization, intelligence, and convenience.

关键词： Digital image Processing Artificial Intelligence image algorithm Overview

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Research of infrared image optimization algorithm in Optical read-out IR imaging 7

Research of infrared image optimization algorithm in Optical...

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7th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT) - Optical Test and Measurement Technology and Equipment

作者： Wu Jianxiong Cheng Teng Zhang Qingchuan Gao Jie Wu Xiaoping Univ Sci & Technol China Chinese Acad Sci Key Lab Mech Behav & Design Mat Hefei 230027 Peoples R China

ISBN: (纸本)9781628413571

Different from traditional electrical readout infrared imaging, optical readout infrared imaging system readout the thermo-mechanical response of focal plane array via visible light. Due to the different parameters of the optical system, usually, the infrared thermal image pixel corresponding to the thermal element of focal plane array is not consistent. And the substrate-free focal plane array brings thermal crosstalk, the image blur. This manuscript analyzes the optical readout infrared imaging principle, proposes an one to one correspondence method between the infrared thermal image pixel and the thermal element of focal plane array, optimizes the digital infrared image by the thermal crosstalk on substrate-free focal plane array. Simulation and experiments show that the algorithm can effectively enhance the contours of the infrared image detail, enhancing image quality.

关键词： Uncooled infrared imaging image algorithm substrate-free focal plane array point-spread function

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Optimization of Specific Instruction Set Processor for image algorithms

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Procedia Computer Science 2018年 131卷 182-191页

作者： Yi Lei Yabo Chen Northwestern Polytechnical University No. 127 friendship West Road Xi’ an Shaanxi 710072 China

image processing is a class of applications with great computational complexity, and the computational complexity increases with the square of the length of the image. Therefore, the regular processor is difficult to meet the real-time processing requirements. The image algorithms who have high complexity, large computation and good parallelism are the research objects. The processor has been customized specific instructions, which makes its performance in the motion estimation, discrete cosine transform and filter interpolation algorithm greatly improved.

关键词： Specific instruction set image algorithm motion estimation DCT p-VEX

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3D Reconstruction and Calculation Methodology of Defect Using Ultrasonic Phased Arrays

3D Reconstruction and Calculation Methodology of Defect Usin...

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2019 International Conference on Advanced Electrical, Mechatronics and Computer Engineering(AEMCE 2019)

作者： Bing LI Ying-fei LI Fei GAO Lei CHEN State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiao Tong University Collaborative Innovation Center of High-End Manufacturing Equipment Xi'an Jiaotong University International Joint Research Laboratory for Micro/Nano Manufacturing and Measurement Technologies Xi'an Jiaotong University

In recent years, there has been a rapid development and application in the use of ultrasonic phased arrays for non-destructive examination, it's a relatively mature technology to detect over the location and general size of defect. For a better visualization and evaluation, a few researchers have done some work on three-dimensional reconstruction of defects. This paper proposed a 3 D reconstruction and calculation methodology, which using a linear phased array probe detection system to collect scanning data, combining with image algorithm on MATLAB platform, then realized the 3 D reconstruction and calculation of defects. To verify the reliability of the method, we made two contrast test blocks, including different hole defects. The optimal characterization performance of the methodology will be achieved when the reconstruction model can better characterize the actual defect and the volume calculation results are close to the true values. The experimental results shows the reconstructed 3 D models are continuous and smooth, which can reflect the types of defects. The calculated values of volumes are close to the true values, whose calculation errors were all less than 10%, and the maximum error was less than 2% after error compensation. Besides, the speed of defect reconstruction is more faster than traditional methods. For three-dimensional reconstruction and quantitative analysis of defect, it has important significance and practical values.

关键词： Ultrasonic phased arrays 3D reconstruction and calculation methodology image algorithm

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