Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Hernan Dario Benitez-Restrepo"'
Autor:
Roger Gomez-Nieto, Jose Franciso Ruiz-Munoz, Juan Beron, Cesar A. Ardila Franco, Hernan Dario Benitez-Restrepo, Alan C. Bovik
Publikováno v:
IEEE Access, Vol 10, Pp 13290-13310 (2022)
The existing body of work on video object tracking (VOT) algorithms has studied various image conditions such as occlusion, clutter, and object shape, which influence video quality and affect tracking performance. Nonetheless, there is no clear disti
Externí odkaz:
https://doaj.org/article/033e7637987544ea946ae83c1640fa64
Publikováno v:
IEEE Access, Vol 8, Pp 143201-143218 (2020)
Methods for image Super Resolution (SR) have started to benefit from the development of perceptual quality predictors that are designed for super resolved images. However, extensive cross dataset validation studies have not yet been performed on Imag
Externí odkaz:
https://doaj.org/article/dbf46d5d28374bb68d1ecb3fed214a90
Publikováno v:
Remote Sensing, Vol 11, Iss 7, p 877 (2019)
Pan-sharpening (PS) is a method of fusing the spatial details of a high-resolution panchromatic (PAN) image with the spectral information of a low-resolution multi-spectral (MS) image. Visual inspection is a crucial step in the evaluation of fused pr
Externí odkaz:
https://doaj.org/article/0e6ea0b7459841868ed70fb0ed764f4f
Autor:
David Alejandro Jimenez-Sierra, David Alfredo Quintero-Olaya, Juan Carlos Alvear-Munoz, Hernan Dario Benitez-Restrepo, Juan Felipe Florez-Ospina, Jocelyn Chanussot
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b74308a4e32878e3a0e906c98f167d6b
https://doi.org/10.1109/tgrs.2022.3168126
https://doi.org/10.1109/tgrs.2022.3168126
Publikováno v:
ICASSP
The visual quality of images resulting from Super Resolution (SR) techniques is predicted with blind image quality assessment (BIQA) models trained on a database(s) of human rated distorted images and associated human subjective opinion scores. Such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3408126ab2bae882f133b9dc18b1048f
https://doi.org/10.1109/icassp.2019.8682512
https://doi.org/10.1109/icassp.2019.8682512
Publikováno v:
ICASSP
Video Object Tracking -VOT- in realistic scenarios is a difficult task. Image factors such as occlusion, clutter, confusion, object shape, and zooming, among others, have an impact on video tracker methods performance. While these conditions do affec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26d861709457f51517851c8248125d60
https://doi.org/10.1109/icassp.2019.8683625
https://doi.org/10.1109/icassp.2019.8683625
Publikováno v:
2019 XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA).
Image quality assessment (IQA) protocol ensures that mammography equipment operates according to its design standards. IQA permits to detect alterations in the equipment that may impact negatively the interpretation of mammograms. The mammography acc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::071c9b42170334e8370cdfd6f8fc9ceb
https://doi.org/10.1109/stsiva.2019.8730289
https://doi.org/10.1109/stsiva.2019.8730289
Publikováno v:
Journal of Visual Communication and Image Representation. 39:142-151
The sharpness metric correlates with human evaluations of blurry and noisy images.This metric requires no training on human image quality ratings.It provides comparable performance with respect to full reference metrics.It is better than most of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65a9a193b3aa0496d8e428004d5d57b4
https://doi.org/10.1016/j.jvcir.2016.05.015
https://doi.org/10.1016/j.jvcir.2016.05.015
Publikováno v:
2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA).
Diverse image processing techniques are used in Thermography for Nondestructive Testing (TNDT) to enhance images contrast and visibility of cracks or defects in materials. A common procedure to compare the ability of these image processing techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7527940b06a984c5ae05a95c9ef391e
https://doi.org/10.1109/stsiva.2012.6340568
https://doi.org/10.1109/stsiva.2012.6340568