Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Dehua Xie"'
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2231 (2023)
Accurate cropland information is crucial for the assessment of food security and the formulation of effective agricultural policies. Extracting cropland from remote sensing imagery is challenging due to spectral diversity and mixed pixels. Recent adv
Externí odkaz:
https://doaj.org/article/86b3cf6b3d874dec8844605d7ccc6fa7
Publikováno v:
IEEE Access, Vol 8, Pp 54802-54815 (2020)
Removing rain streaks from a single image continues to draw attentions today in outdoor vision systems. In this paper, we present an efficient method to remove rain streaks. First, the location map of rain pixels needs to be known as precisely as pos
Externí odkaz:
https://doaj.org/article/4d23bfd2bc074131be721fca16608b29
Publikováno v:
IEEE Access, Vol 7, Pp 140355-140366 (2019)
In this paper, we focus on the intrinsic image decomposition problem for stereoscopic image pairs. The existing methods cannot be applied directly to decompose stereoscopic images, as it often produces inconsistent reflectance (albedo) and 3D artifac
Externí odkaz:
https://doaj.org/article/5b97cb2083454599a37adcabf7b7b3df
Publikováno v:
Chemical Papers. 76:1875-1884
Publikováno v:
ChemistrySelect. 7
Publikováno v:
ChemistrySelect. 7
Publikováno v:
IEEE Transactions on Multimedia. 23:2481-2492
Removing rain from images is of a great importance to various applications such as autonomous driving, drone piloting, and photo editing. Conventional methods rely on some heuristics to handcraft various priors to remove or separate rain from images.
Publikováno v:
IEEE Access, Vol 7, Pp 140355-140366 (2019)
In this paper, we focus on the intrinsic image decomposition problem for stereoscopic image pairs. The existing methods cannot be applied directly to decompose stereoscopic images, as it often produces inconsistent reflectance (albedo) and 3D artifac
Publikováno v:
VCIP
Endoscopic videos have been widely used for stomach diagnoses. However, endoscopic devices often capture videos with motion blurs, due to the dimly-lit environment and the camera shakiness during the capturing, which severely disturbs the diagnoses.
Publikováno v:
VCIP
We propose in this paper an algorithm to recover the blurred details of an image caused by defocusing during the photo-taking. Our algorithm takes one RGB image as well as its depth map as the input. We build up a model in which each captured image p