Results 1 to 10 of about 11,509,765 (247)
Image restoration model for microscopic defocused images based on blurring kernel guidance
HeliyonDefocus blurring imaging seriously affects the observation accuracy and application range of optical microscopes, and the blurring kernel function is a key parameter for high-resolution image restoration.
Yangjie Wei, Qifei Li, Weihan Hou
doaj +4 more sources
Drones, 2023 Drone and aerial remote sensing images are widely used, but their imaging environment is complex and prone to image blurring. Existing CNN deblurring algorithms usually use multi-scale fusion to extract features in order to make full use of aerial remote
Baoyu Zhu, Qunbo Lv, Zheng Tan
doaj +1 more source
DEBLURRING STUDY OF DMSP/OLS NIGHTTIME LIGHT DATA BY RTSVD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 DMSP/OLS, as the earliest Nighttime light remote sensing data, has great application value and can greatly improve the data quality by solving the blurring problem existing in the data.
C. Ren +4 more
doaj +1 more source
Influence blur off to a small radius on the digital image’s formal parameters
Trudy Odesskogo Politehničeskogo Universiteta, 2014 Information system security, in particular, identifying the violation of the integrity of digital images is considered an important task in today’s world of information technologies. When the integrity is violated, the image is often blurred.
Вікторія Вікторівна Зоріло
doaj +5 more sources
A Survey on Face and Body Based Human Recognition Robust to Image Blurring and Low Illumination
Mathematics, 2022 Many studies have been actively conducted on human recognition in indoor and outdoor environments. This is because human recognition methods in such environments are closely related to everyday life situations.
Ja Hyung Koo +4 more
doaj +1 more source
Efficient Dark Channel Prior Based Blind Image De-blurring [PDF]
Radioengineering, 2021 Dark channel prior for blind image de-blurring has attained considerable attention in recent past. An interesting observation in blurring process is that the value of dark channel increases after averaging with adjacent high intensity pixels.
J. Ahmad, I. Touqir, A. M. Siddiqui
doaj
Journal of Pathology Informatics, 2017 Introduction: The quality of data obtained from image analysis can be directly affected by several preanalytical (e.g., staining, image acquisition), analytical (e.g., algorithm, region of interest [ROI]), and postanalytical (e.g., computer processing ...
Liron Pantanowitz +4 more
doaj +1 more source
Blind Restoration Algorithm Using Residual Measures for Motion-Blurred Noisy Images
Journal of Intelligent Systems, 2018 Image de-blurring is an inverse problem whose intent is to recover an image from the image affected badly with different environmental conditions. Usually, blurring can happen in various ways; however, de-blurring from a motion problem with or without ...
Shah Mayana, Dalal U. D.
doaj +1 more source
Autofocusing method for through-the-wall bioradar imagery of human vital signs
The Journal of Engineering, 2019 In through-the-wall human imaging, ambiguities in wall parameters will cause image blurred and deteriorate signal-to-clutter ratio of vital signs. Autofocusing method is a kind of method to get focusing image without any information of wall.
Fulai Liang +4 more
doaj +1 more source
Two-phase learning-based 3D deblurring method for digital breast tomosynthesis images.
PLoS ONE, 2022 In digital breast tomosynthesis (DBT) systems, projection data are acquired from a limited number of angles. Consequently, the reconstructed images contain severe blurring artifacts that might heavily degrade the DBT image quality and cause difficulties ...
Yunsu Choi +4 more
doaj +2 more sources