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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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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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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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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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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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algorithm for the Evaluation of Imperfections in Auto Bodywork Using Profiles from a Retroreflective image

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SENSORS 2014年第2期14卷 2476-2488页

作者： Barber, Ramon Zwilling, Valerie Salichs, Miguel A. Univ Carlos III Madrid Syst Engn & Automat Dept Madrid 28911 Spain Peugeot Citroen Automobiles SA F-78943 Psa Velizy France

Nowadays the automobile industry is becoming more and more demanding as far as quality is concerned. Within the wide variety of processes in which this quality must be ensured, those regarding the squeezing of the auto bodywork are especially important due to the fact that the quality of the resulting product is tested manually by experts, leading to inaccuracies of all types. In this paper, an algorithm is proposed for the automated evaluation of the imperfections in the sheets of the bodywork after the squeezing process. The algorithm processes the profile signals from a retroreflective image and characterizes an imperfection. It is based on a convergence criterion that follows the line of the maximum gradient of the imperfection and gives its geometrical characteristics as a result: maximum gradient, length, width, and area.

关键词： imaging systems diffraction digital image processing sensor application image algorithm

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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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Design and implementation of 160 x 192 pixel array capacitive-type fingerprint sensor

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CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2005年第4期24卷 401-413页

作者： Nam, JM Jung, SM Yang, DH Lee, MK Yonsei Univ Dept Elect & Elect Engn VLSI Seoul 120749 South Korea Yonsei Univ Dept Elect & Elect Engn CAD Lab Seoul 120749 South Korea

The application specific integrated circuit implementation of a capacitive fingerprint sensor system-on-chip (SOC), which embeds a 32-bit microcontroller for performing an identification algorithm, is described for user authentication on small, thin, and portable equipment. The SOC is composed of 160 x 192 array cells with a sensor detection circuit and an embedded 32-bit reduced instruction set computer (RISC) microcontroller. The proposed sensor detection circuit increases the voltage difference between a ridge and valley about 80% more than conventional circuits and minimizes an electrostatic discharge influence by applying an effective isolation structure. The 32-bit RISC microcontroller is embedded by a latch base for low power and low complexity. The test chip was fabricated on a 0.35 mu m standard complementary metal oxide semiconductor 1-poly 4-metal process.

关键词： fingerprint capacitive type pixel array charge sharing image algorithm

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Design and implementation of a capacitive fingerprint sensor circuit in CMOS technology

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SENSORS AND ACTUATORS A-PHYSICAL 2007年第1期135卷 283-291页

作者： Nam, Jin-Moon Jung, Seung-Min Lee, Moon-Key Hanshin Univ Dept Informat & Telecom Osan 447791 Gyeonggi Do South Korea Yonsei Univ Dept Elect & Elect Engn Seoul 120749 South Korea

An ASIC implementation of capacitive fingerprint sensor is described for user authentication on small, thin, and portable equipment. New charge sharing sensing circuit minimizes the influence of internal parasitic capacitances and enlarges the voltage difference between a ridge and valley. A voltage comparator can easily discriminate a ridge and valley. Our method results in about 180% improvement in the voltage difference between a ridge and valley. The sensing circuit also includes a pixel-level automatic calibration scheme. The proposed calibration scheme initializes a capacitive fingerprint sensor LSI to eliminate the influence of the surface condition and environment, which is degraded by dirt during long-time use. The test chip is fabricated on a 0.35 mu m standard CMOS 1-poly 4-metal process. (c) 2006 Elsevier B.V. All rights reserved.

关键词： fingerprint sensor capacitive pixel array charge sharing image algorithm pixel-level automatic calibration scheme

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Monitoring of fresh-cut spinach leaves through a multispectral vision system

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POSTHARVEST BIOLOGY AND TECHNOLOGY 2012年第1期63卷 74-84页

作者： Lunadei, Loredana Diezma, Belen Lleo, Lourdes Ruiz-Garcia, Luis Cantalapiedra, Susana Ruiz-Altisent, Margarita Univ Politecn Madrid Lab Propiedades Fis & Tecnol Avanzadas Agroalimen Dept Ingn Rural ETSI Agronomos E-28040 Madrid Spain Univ Politecn Madrid Dept Ciencia & Tecnol Aplicadas Ingn Tecn Agr EUIT Agr 5 E-28040 Madrid Spain

This paper reports the development of image processing methods for the detection of superficial changes related to quality deterioration in ready-to-use (RTU) leafy spinach during storage. The experiment was performed on spinach leaves stored at 4.5 degrees C for 21 days (Set 1) and at 10 degrees C for 9 days (Set 2). Regarding Set 1, 75 units were evaluated beginning at time zero and after 7. 14, and 21 days of storage (treatments t(1.0), t(1.1), t(1.2), and t(1.3), respectively). In the case of Set 2.24 samples were measured at time zero and after 3, 6, and 9 days (treatments t(2.0), t(2.1), t(2.2), and t(2.3), respectively). Multispectral images were acquired using a 3-CCD camera centered at the infrared (IR), red (R), and blue (B) wavelengths. Opportune combinations of these bands were calculated using virtual images, and a non-supervised classification was performed. A large number of spinach leaves belonging to Set 2 showed injuries due to the effects of in-pack condensation;thus, an image algorithm was developed to separate these defective leaves before applying the classification. For Set 1, Set 2 and all the calculated virtual images, the classification procedure yielded two image-based deterioration reference classes (DRCs): Class A, including the majority of the samples belonging to t(1.0) and t(1.1) (Set 1) and to t(2.0) and t(2.1) (Set 2) treatments and Class B. which comprised mainly the samples belonging to t(1.2) and t(1.3) (Set 1) and to t(2.2) and t(2.3) (Set 2) treatments. An internal validation was performed, and the best classification was obtained with the virtual images based on R and B bands. For each sample, camera classification was evaluated according to reference measurements (visible (VIS) reflectance spectra and CIE L*a*b* coordinates);in all cases, VIS reflectance values corresponded well with storage days, and Classes A and B could be considered homogenous with regards to L* and a* values. Taken together, these results confirmed that

关键词： RTU leafy spinach Shelf life Multispectral image image algorithm Classification

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