المؤلفون: Maged Wafy

المصدر: International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-12 (2024)

مصطلحات موضوعية: Adjacent pixels, Invariant, Visual cryptography (VCS), Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1875-6883

URL الوصول: https://doaj.org/article/0fe24bd50e834b0e93c7e99a9adf9907

المؤلفون: Wang, Congli, Chen, Zhibin, Li, Ting

المصدر: Indonesian Journal of Electrical Engineering and Computer Science; Vol 11, No 11: November 2013; 6556-6562 ; 2502-4760 ; 2502-4752 ; 10.11591/ijeecs.v11.i11

مصطلحات موضوعية: Correlation of Adjacent Pixels, Average Gray Difference, Block Uniformity, Image Scrambling Degree, Blind Evaluation

وصف الملف: application/pdf

Relation: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2806/3922; https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2806

الاتاحة: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2806

المؤلفون: Patiño Vanegas, Alberto, Contreras Ortiz, Sonia Helena, Martínez-Santos, Juan Carlos

المساهمون: Cook T.S., Zhang J.

المصدر: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020376303&doi=10.1117%2f12.2254568&partnerID=40&md5=3051fea5d265d22297fff383b1f72df0 ; Scopus2-s2.0-85020376303 ; Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications.

مصطلحات موضوعية: Codes (symbols), Health care, Image coding, Image processing, Pixels, Signal encoding, Adjacent pixels, Identification data, Original images, Patient information, Point of interest, Security features, Security methods, Threshold-value, Medical imaging

وصف الملف: Recurso electrónico; application/pdf

Relation: 15 February 2017 through 16 February 2017; Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10138; https://hdl.handle.net/20.500.12585/8953; Universidad Tecnológica de Bolívar; Repositorio UTB; 57190688459; 57210822856; 26325154200

الاتاحة: https://hdl.handle.net/20.500.12585/8953
https://doi.org/10.1117/12.2254568

المؤلفون: Sebastien Coudert, D.G. Abdelsalam, Michel Stanislas

المساهمون: Laboratoire de Mécanique de Lille - FRE 3723 (LML), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille, Centre National de la Recherche Scientifique (CNRS), Physicochimie des Processus de Combustion et de l’Atmosphère - UMR 8522 (PC2A), Université de Lille-Centre National de la Recherche Scientifique (CNRS)

المصدر: Measurement Science and Technology
Measurement Science and Technology, IOP Publishing, 2014, 25, pp.084007
Measurement Science and Technology, 2014, 25, pp.084007

مصطلحات موضوعية: Gaussian, the subpixel response is characterized using a specifically designed set-up. The crosstalk between adjacent pixels for the two cameras is then estimated and compared. Then, 01 natural sciences, Imaging phantom, 010305 fluids & plasmas, 010309 optics, symbols.namesake, although the pixel response is not perfect, [SPI]Engineering Sciences [physics], Optics, the bias and RMS errors between locations of simulated and real images for the two cameras are accurately calculated using a homemade program. The results show that, 0103 physical sciences, Instrumentation, Engineering (miscellaneous), We present a quantitative comparison between FlowMaster3 CCD and Phantom V9.1 CMOS cameras' response in the scope of application to particle image velocimetry (PIV). First, ComputingMilieux_MISCELLANEOUS, Mathematics, Pixel, business.industry, the optical crosstalk between adjacent pixels stays relatively low and the accuracy of the position determination of an ideal PIV particle image is much better than expected, Applied Mathematics, Peak fitting, Real image, Subpixel rendering, the camera response is experimentally characterized using particle image simulation. Based on a three-point Gaussian peak fitting, CMOS, Particle image velocimetry, symbols, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c268cd3799e3192e401a75fff85da15a
https://hal.archives-ouvertes.fr/hal-01074695

المؤلفون: Abdelsalam, D.G., Stanislas, Michel, Coudert, Sébastien

المساهمون: Laboratoire de Mécanique de Lille - FRE 3723 (LML), Université de Lille, Sciences et Technologies-Centrale Lille-Centre National de la Recherche Scientifique (CNRS), Centrale Lille, Centre National de la Recherche Scientifique (CNRS), Physicochimie des Processus de Combustion et de l’Atmosphère - UMR 8522 (PC2A), Université de Lille-Centre National de la Recherche Scientifique (CNRS)

المصدر: ISSN: 0957-0233.

مصطلحات موضوعية: We present a quantitative comparison between FlowMaster3 CCD and Phantom V9.1 CMOS cameras' response in the scope of application to particle image velocimetry (PIV). First, the subpixel response is characterized using a specifically designed set-up. The crosstalk between adjacent pixels for the two cameras is then estimated and compared. Then, the camera response is experimentally characterized using particle image simulation. Based on a three-point Gaussian peak fitting, the bias and RMS errors between locations of simulated and real images for the two cameras are accurately calculated using a homemade program. The results show that, although the pixel response is not perfect, the optical crosstalk between adjacent pixels stays relatively low and the accuracy of the position determination of an ideal PIV particle image is much better than expected, [SPI]Engineering Sciences [physics]

Relation: hal-01074695; https://hal.science/hal-01074695

الاتاحة: https://hal.science/hal-01074695

المؤلفون: Fan XP(范晓鹏), Cai TF(蔡铁峰), Zhu F(朱枫)

المصدر: Fan XP,Cai TF,Zhu F. A Local Image Enhancement Method Based on Adjacent Pixel Gray Order-preserving Principle[C]. 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications. Beijing. June 25-27, 2013.A Local Image Enhancement Method Based on Adjacent Pixel Gray Order-preserving Principle.

مصطلحات موضوعية: The paper is committed in local image enhancement. At first, the authors propose an adjacent pixel gray order-preserving principle. Adjacent pixel gray order-preserving principle is the basement of local enhancement method which ensures that there is no distortion in processed image. And then, the authors propose an iterative algorithm, which could stretch gray-scale difference of adjacent pixels in premise of not changing gray magnitude relationship between adjacent pixels. At last, the authors propose a totally reference image quality assessment method based on adjacent pixel gray order-preserving principle. According to this quality assessment method, the authors made a set of comparative experiments with local histogram equalization and method. Experimental results show that the proposed enhancement method can get higher score and provide better visual effects, fully demonstrating its effectiveness. According to this quality assessment method, the proposed method shows a good effectiveness, through experimental results and comparison with local histogram equalization method

Relation: http://ir.sia.cn/handle/173321/13845

الاتاحة: http://ir.sia.cn/handle/173321/13845

المؤلفون: Ranganath, H. S., Shiva, S. G.S.

المصدر: Faculty Publications

مصطلحات موضوعية: Computer vision, correlation of adjacent pixels, image registration, image registration architecture, image registration efficiency, scene matching, Computer Sciences

Relation: https://digitalcommons.memphis.edu/facpubs/2655; https://doi.org/10.1109/TC.1985.1676607

الاتاحة: https://digitalcommons.memphis.edu/facpubs/2655
https://doi.org/10.1109/TC.1985.1676607