Results 21 to 30 of about 1,748,469 (290)
Blind Image Deblurring Based on Local Edges Selection
Applied Sciences, 2019 The edges of images are less sparse when images become blurred. Selecting effective image edges is a vital step in image deblurring, which can help us to build image deblurring models more accurately.
Yue Han, Jiangming Kan
doaj +1 more source
Patch-Wise Blind Image Deblurring Via Michelson Channel Prior
IEEE Access, 2019 Motion blur exists in many computer vision tasks, including faces, texts, and low-illumination images etc. It has been proved that Dark Channel Prior (DCP) and Bright Channel Prior (BCP) can both help the image deblurring by enhancing the dark or bright ...
Guoquan Wen +4 more
doaj +1 more source
IET Image Processing, 2021 The visibility of outdoor images is usually significantly degraded by haze. Existing dehazing algorithms, such as dark channel prior (DCP) and colour attenuation prior (CAP), have made great progress and are highly effective.
Guangbin Zhou +5 more
doaj +1 more source
Bright field microscopy as an alternative to whole cell fluorescence in automated analysis of macrophage images. [PDF]
PLoS ONE, 2009 Fluorescence microscopy is the standard tool for detection and analysis of cellular phenomena. This technique, however, has a number of drawbacks such as the limited number of available fluorescent channels in microscopes, overlapping excitation and ...
Jyrki Selinummi +7 more
doaj +1 more source
工程科学与技术, 2023 Nighttime image dehazing provides significant industrial contributions to unmanned driving and traffic security. To address the inability of the dark channel prior algorithm facing the foggy night scenes, a night image dehazing algorithm is proposed ...
Bo ZHAO +4 more
doaj
The lowest spatial frequency channel determines brightness perception
Vision Research, 2007 This study investigates the role played by individual spatial scales in determining the apparent brightness of greyscale patterns. We measured the perceived difference in brightness across an edge in the presence of notch filtering and high-pass filtering for two stimulus configurations, one that elicits the perception of transparency and one that ...
Perna A, MORRONE, MARIA CONCETTA
openaire +4 more sources
Meitan xuebaoDue to the influence of dust, water mist and low illumination environment in coal mine, it is very difficult to accurately identify the monitoring images of belt transportation system. Aiming at the problem of poor image processing results and efficiency
Hongwei FAN +5 more
doaj +1 more source
An Adaptive Combination of Dark and Bright Channel Priors for Single Image Dehazing [PDF]
Journal of Imaging Science and Technology, 2017 Dehazing methods based on prior assumptions derived from statistical image properties fail when these properties do not hold. This is most likely to happen when the scene contains large bright areas, such as snow and sky, due to the ambiguity between the airlight and the depth information.
Whannou de Dravo, Vincent +4 more
openaire +3 more sources
Letter to R. Bright from Wm Bright
, 2016 This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/240095Re:
Bright Family
core +3 more sources
An image dehazing algorithm based on dark channel correction and weighted aggregate-guided filtering
四川大学学报. 自然科学版, 2021 A new efficient dehazing algorithm is proposed to address the failure of the dark channel prior method in bright areas such as the sky and the blur problem at the edges caused by guided filtering.
LI Hong-Ping +3 more
doaj