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The upgrade to the High Luminosity Large Hadron Collider will pose unprecedented challenges to the tracking systems of all experiments. Recent advancement of active pixel detectors designed in CMOS processes provide attractive alternatives…

Instrumentation and Detectors · Physics 2017-09-13 T. Bisanz , J. Große-Knetter , A. Quadt , J. Rieger , J. Weingarten

Wide-field survey instruments are used to efficiently observe large regions of the sky. To achieve the necessary field of view, and to provide a higher signal-to-noise ratio for faint sources, many modern instruments are undersampled.…

An undersampled point spread function may interact with the microstructure of a solid-state detector such that the total flux detected can depend sensitively on where the PSF center falls within a pixel. Such intra-pixel sensitivity…

Astrophysics · Physics 2009-10-31 Tod R. Lauer

Due to limited size and imperfect of the optical components in a spectrometer, aberration has inevitably been brought into two-dimensional multi-fiber spectrum image in LAMOST, which leads to obvious spacial variation of the point spread…

Instrumentation and Methods for Astrophysics · Physics 2020-10-28 Jiali Xu , Qian Yin , Ping Guo , Xin Zheng

Several calibration techniques have been proposed in the literature for the calibration of two-component two-dimensional (2C-2D) particle image velocimetry (PIV) and three-component two-dimensional (3C-2D) stereoscopic PIV (SPIV) systems.…

Data Analysis, Statistics and Probability · Physics 2021-04-22 Muhammad Shehzad , Sean Lawrence , Callum Atkinson , Julio Soria

This paper proposes a novel two-stage method for the classification of hyperspectral images. Pixel-wise classifiers, such as the classical support vector machine (SVM), consider spectral information only; therefore they would generate noisy…

Image and Video Processing · Electrical Eng. & Systems 2018-06-05 Raymond H. Chan , Kelvin K. Kan , Mila Nikolova , Robert J. Plemmons

The development of CMOS pixel sensors with column parallel read-out and integrated zero-suppression has resulted in a full size, nearly 1 Megapixel, prototype with ~100 \mu s read-out time. Its performances are quite close to the ILD vertex…

Instrumentation and Detectors · Physics 2010-07-16 Christine Hu-Guo , IPHC Collaboration , IRFU Collaboration

CMOS Monolithic Active Pixel Sensors (CPS) are ultra-light and highly granular silicon pixel detectors suited for highly sensitive charged particle tracking. Being manufactured with cost efficient standard CMOS processes, CPS may integrate…

Instrumentation and Detectors · Physics 2020-01-29 M. Deveaux

One of the main limitations for the resolution of optical instruments is the size of the sensor's pixels. In this paper we introduce a new sub pixel resolution algorithm to enhance the resolution of images. This method is based on the…

Instrumentation and Detectors · Physics 2012-11-12 Siamak Khademi , Ahmad Darudi , Zahra Abbasi

A novel method to estimate the pixels simultaneous detection probability and the spatial resolution of pixelized detectors is proposed, which is based on the determination of the statistical correlations between detector neighbor pixels.…

Medical Physics · Physics 2008-02-25 V. Grabski

Detecting small moving targets accurately in infrared (IR) image sequences is a significant challenge. To address this problem, we propose a novel method called spatial-temporal local feature difference (STLFD) with adaptive background…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Yongkang Zhao , Chuang Zhu , Yuan Li , Shuaishuai Wang , Zihan Lan , Yuanyuan Qiao

Conventional image sensors are only responsive to the intensity variation of the incoming light wave. By encoding the wavefront information into the balanced detection scheme, we demonstrate an image sensor pixel design that is capable to…

Optics · Physics 2013-04-30 Guoan Zheng

Deep superpixel algorithms have made remarkable strides by substituting hand-crafted features with learnable ones. Nevertheless, we observe that existing deep superpixel methods, serving as mid-level representation operations, remain…

Computer Vision and Pattern Recognition · Computer Science 2024-04-10 Sen Xu , Shikui Wei , Tao Ruan , Lixin Liao

Image segmentation is a core task in image processing, yet many methods degrade when images are heavily corrupted by noise and exhibit intensity inhomogeneity. Within the iterative-convolution thresholding method (ICTM) framework, we…

Computer Vision and Pattern Recognition · Computer Science 2025-11-13 Xinyu Wang , Wenjun Yao , Fanghui Song , Zhichang Guo

Weakly supervised localization aims at finding target object regions using only image-level supervision. However, localization maps extracted from classification networks are often not accurate due to the lack of fine pixel-level…

Computer Vision and Pattern Recognition · Computer Science 2020-08-13 Xiaolin Zhang , Yunchao Wei , Yi Yang

This paper introduces a novel method for inter-camera color calibration for multispectral imaging with camera arrays using a consensus image. Capturing images using multispectral camera arrays has gained importance in medical, agricultural,…

Image and Video Processing · Electrical Eng. & Systems 2024-11-14 Katja Kossira , Jürgen Seiler , André Kaup

Binary feature descriptors have been widely used in various visual measurement tasks, particularly those with limited computing resources and storage capacities. Existing binary descriptors may not perform well for long-term visual…

Computer Vision and Pattern Recognition · Computer Science 2023-05-16 Xinyu Lin , Yingjie Zhou , Xun Zhang , Yipeng Liu , Ce Zhu

CMOS pixel sensors (CPS) represent a novel technological approach to building charged particle detectors. CMOS processes allow to integrate a sensing volume and readout electronics in a single silicon die allowing to build sensors with a…

This paper describes new deep 3.6 and 4.5 micron imaging of three UltraVISTA near-infrared survey stripes within the COSMOS field. The observations were carried out with Spitzer's Infrared Array Camera (IRAC) for the Spitzer Matching Survey…

Small-object detection is a challenging problem. In the last few years, the convolution neural networks methods have been achieved considerable progress. However, the current detectors struggle with effective features extraction for…

Computer Vision and Pattern Recognition · Computer Science 2022-05-13 Pourya Shamsolmoali , Masoumeh Zareapoor , Eric Granger , Jocelyn Chanussot , Jie Yang