Method of subpixel processing of high resolution edge during clearance photoshop registration

Предложена методика субпиксельной обработки положения края повышенного разрешения при регистрации объекта на просвет. Осуществлено имитационное моделирование результатов субпиксельной регистрации на примере идеальной системы регистрации. Установлены ограничения работы системы в условиях высокой и низкой освещенности, сформулированы условия стабильной работы системы. Исследовано поведение системы при регистрации полупрозрачных объектов, осуществлена оценка значения среднеквадратичного отклонения σsub для результатов моделирования работы идеальной системы регистрации на 8-битовой ПЗС-линейке. Проведены оценочные расчеты среднеквадратичного отклонения σsub для 12-битовой ПЗС-линейки. The technique of subpixel processing of the position of the edge with increased resolution when the object is registered for lumen is proposed. Simulation modeling of the results of subpixel registration is carried out on the example of an ideal registration system. The limitations of the system operation in high and low light conditions are established, the conditions of stable operation of the system are formulated. The behavior of the system in the registration of translucent objects is studied, the value of the standard deviation σsub is estimated for the results of modeling the ideal registration system on the 8-bit CCD-line. The estimated calculations of the standard deviation σsub for the 12-bit CCD-line are carried out

Increase of Charge-Coupled Device Resolution limits using Spatial Light Modulator

Resolution of the imaging devices is mainly restricted by the pixels pitch, the pixels size and shape. We show a methodology where a Liquid Crystal on Silicon presentation is utilized to produce diverse direct stages at the article phantom plane, prompting distinctive sub-pixel relocations of the item picture at the picture plane. Along these lines, pictures of the same item with various movements are inspected by Charge-Coupled Device (CCD) camera. At long last, all the acquired pictures are legitimately consolidated prompting a last super-determined picture. Correlation of unique article and the one acquired with our methodology plainly affirm a noteworthy change in determination

Hybrid energy and angle dispersive X-ray diffraction computed tomography

Pixelated energy resolving detectors enable acquisition of X-ray diffraction (XRD) signals using a hybrid energy- and angle- dispersive technique, potentially paving the way for the development of novel benchtop XRD imaging or computed tomography (XRDCT) systems, utilising readily available polychromatic X-ray sources. In this work, a commercially available pixelated cadmium telluride (CdTe) detector, HEXITEC (High Energy X-ray Imaging Technology), was used to demonstrate such an XRDCT system. Specifically, a novel fly-scan technique was developed and compared to the established step-scan technique, reducing the total scan time by 42% while improving the spatial resolution, material contrast and therefore the material classification

Computational Cameras: Approaches, Benefits and Limits

A computational camera uses a combination of optics and software to produce images that cannot be taken with traditional cameras. In the last decade, computational imaging has emerged as a vibrant field of research. A wide variety of computational cameras have been demonstrated - some designed to achieve new imaging functionalities and others to reduce the complexity of traditional imaging. In this article, we describe how computational cameras have evolved and present a taxonomy for the technical approaches they use. We explore the benefits and limits of computational imaging, and describe how it is related to the adjacent and overlapping fields of digital imaging, computational photography and computational image sensors

Sub-pixel Layout for Super-Resolution with Images in the Octic Group

13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IThis paper presents a novel super-resolution framework by exploring the properties of non-conventional pixel layouts and shapes. We show that recording multiple images, transformed in the octic group, with a sensor of asymmetric sub-pixel layout increases the spatial sampling compared to a conventional sensor with a rectilinear grid of pixels and hence increases the image resolution. We further prove a theoretical bound for achieving well-posed super-resolution with a designated magnification factor w.r.t. the number and distribution of sub-pixels. We also propose strategies for selecting good sub-pixel layouts and effective super-resolution algorithms for our setup. The experimental results validate the proposed theory and solution, which have the potential to guide the future CCD layout design with super-resolution functionality.United States. Air Force (Assistant Secretary of Defense for Research & Engineering Contract #FA8721-05-C-0002)SUTD-MIT International Design Centre (Joint Postdoctoral Programme)Singapore University of Technology and Design (SUTD StartUp Grant ISTD 2011 016)Singapore. Ministry of Education (MOE Academic Research Fund MOE2013-T2-1-159

All-passive pixel super-resolution of time-stretch imaging

Based on image encoding in a serial-temporal format, optical time-stretch imaging entails a stringent requirement of state-of-the- art fast data acquisition unit in order to preserve high image resolution at an ultrahigh frame rate --- hampering the widespread utilities of such technology. Here, we propose a pixel super-resolution (pixel-SR) technique tailored for time-stretch imaging that preserves pixel resolution at a relaxed sampling rate. It harnesses the subpixel shifts between image frames inherently introduced by asynchronous digital sampling of the continuous time-stretch imaging process. Precise pixel registration is thus accomplished without any active opto-mechanical subpixel-shift control or other additional hardware. Here, we present the experimental pixel-SR image reconstruction pipeline that restores high-resolution time-stretch images of microparticles and biological cells (phytoplankton) at a relaxed sampling rate (approx. 2--5 GSa/s) --- more than four times lower than the originally required readout rate (20 GSa/s) --- is thus effective for high-throughput label-free, morphology-based cellular classification down to single-cell precision. Upon integration with the high-throughput image processing technology, this pixel-SR time- stretch imaging technique represents a cost-effective and practical solution for large scale cell-based phenotypic screening in biomedical diagnosis and machine vision for quality control in manufacturing.Comment: 17 pages, 8 figure

A model-based approach for combined tracking and resolution enhancement of faces in low resolution video

Wide area surveillance situations require many sensors, thus making the use of highresolution cameras prohibitive because of high costs and exponential growth in storage. Small and low cost CCTV cameras may produce poor quality video, and high-resolution CCD cameras in wide area surveillance can still yield low-resolution images of the object o