Resultats globals: 5 registres trobats en 0.02 segons.
Articles, 4 registres trobats
Llibres i col·leccions, 1 registres trobats
Articles 4 registres trobats  
1.
14 p, 840.3 KB Expressive Color Visual Secret Sharing with Color to Gray & Back and Cosine Transform / Chaturvedi, Ratnesh Naresh (Symbiosis International University. Symbiosis Institute of Technology) ; Thepade, Sudeep D. (Savitribai Phule Pune University. Department of Computer Engineering) ; Ahirrao, Swati (Symbiosis International University. Symbiosis Institute of Technology) ; Kothari, Sonali (Symbiosis International University. Symbiosis Institute of Technology)
Color Visual Secret Sharing (VSS) is an essential form of VSS. It is so because nowadays, most people like to share visual data as a color image. There are color VSS schemes capable of dealing with halftone color images or color images with selected colors, and some dealing with natural color images, which generate low quality of recovered secret. [...]
2023 - 10.5565/rev/elcvia.1405
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 22 Núm. 1 (2023) , 1-14 (Regular Issue)  
2.
4 p, 803.1 KB Design and Development of a Computer Vision Algorithm and Tool for Currency Recognition in Indian Vernacular Languages for Visually Challenged People / Raval, Vishwas (The M S University of Baroda (Vadodara, Índia). Department of Computer Science & Engineering)
God created this universe and all living and non-living entities. Human is one of the best among His creations and in Human beings, eyes are the best gift of God to see His creations. As of now, humans are considered as the only developed creatures among God's creations and have developed themselves from Stone Age to the Computing Era. [...]
2019 - 10.5565/rev/elcvia.1186
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 18 Núm. 2 (2019) , p. 4-5 (Special Issue on Recent PhD Thesis Dissemination (2018 - 2019))  
3.
15 p, 5.1 MB Lossless compression of color filter array mosaic images with visualization via JPEG 2000 / Hernández-Cabronero, Miguel (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Marcellin, Michael W. (University of Arizona. Department of Electrical and Computer Engineering) ; Blanes Garcia, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Digital cameras have become ubiquitous for amateur and professional applications. The raw images captured by digital sensors typically take the form of color filter array (CFA) mosaic images, which must be "developed" (via digital signal processing) before they can be viewed. [...]
2018 - 10.1109/TMM.2017.2741426
IEEE transactions on multimedia, Vol. 20, issue 2 (Feb. 2018) , p. 257-270  
4.
17 p, 370.5 KB Computing von Kries Illuminant Changes by Piecewise Inversion of Cumulative Color Histograms / Lecca, Michela (Fondazione Bruno Kessler. Center for Scientific and Technological Research (Trento, Itàlia)) ; Messelodi, Stefano (Fondazione Bruno Kessler. Center for Scientific and Technological Research (Trento, Itàlia))
We present a linear algorithm for the computation of the illuminant change occurring between two color pictures of a scene. We model the light variations with the von Kries diagonal transform and we estimate it by minimizing a dissimilarity measure between the piecewise inversions of the cumulative color histograms of the considered images. [...]
2009 - 10.5565/rev/elcvia.264
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 8 n. 2 (2009) p. 1-17  

Llibres i col·leccions 1 registres trobats  
1.
9 p, 800.2 KB Saliency estimation using a non-parametric low-level vision model / Murray, Naila (Centre de Visió per Computador (Bellaterra, Catalunya)) ; Vanrell i Martorell, Maria Isabel (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; Otazu Porter, Xavier (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; Parraga, Carlos Alejandro (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Many successful models for predicting attention in a scene involve three main steps: convolution with a set of filters, a center-surround mechanism and spatial pooling to construct a saliency map. However, integrating spatial information and justifying the choice of various parameter values remain open problems. [...]
Colorado Springs : IEEE, 2011 - 10.1109/CVPR.2011.5995506
IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2011, p. 433-440  

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