Results 301 to 310 of about 1,074,043 (334)

Image enhancement and restoration

1975
The aim of collecting data is to gain meaningful information about a phenomenon of interest. Unfortunately, often the phenomenon is not a direct physical observable. Instead, e.g., the data at hand may be a linear superposition of the desired quantities.
openaire   +2 more sources

Localized image enhancement

2014 Twentieth National Conference on Communications (NCC), 2014
Image enhancement is a well established field in image processing. The main objective of image enhancement is to increase the perceptual information contained in an image for better representation using some intermediate steps, like, contrast enhancement, debluring, denoising etc.
Saumik Bhattacharya, Venkatesh K. Subramanian, Sumana Gupta   +2 more
openaire   +2 more sources

Radiometric Enhancement of Images

2012
Image analysis by photointerpretation is often made easier when the radiometric nature of an image is enhanced to improve its visual characteristics. Specific differences in vegetation and soil type, for example, may be brought out by increasing the contrast of an image.
openaire   +2 more sources

Image Enhancement Endoscopy

2007
Endoscopy altered the practice of gastroenterology by providing nonoperative access to the gastrointestinal (GI) tract and the pancreaticobiliary system. The detection of microscopic and biochemical changes within the mucosa and submucosa, however, has remained beyond the realm of routine endoscopy.
Michael B. Wallace, Stephan M. Wildi
openaire   +2 more sources

Sexual health among adolescent and young adult cancer survivors: A scoping review from the Children's Oncology Group Adolescent and Young Adult Oncology Discipline Committee

Ca-A Cancer Journal for Clinicians, 2021
Brooke Cherven, Sharon L Bober, Kristin M Bingen   +2 more
exaly  

Image Enhancement

2015
Jan Bauer, Andrej Sycev, Karlheinz Blankenbach   +2 more
openaire   +1 more source

Automated molecular-image cytometry and analysis in modern oncology

Nature Reviews Materials, 2020
Ralph Weissleder, Hakho Lee
exaly  

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature Methods, 2020
Fabian Isensee, Paul F Jaeger, Simon A A Kohl   +2 more
exaly  

Image-Enhancing Agents

Academic Radiology, 1995
openaire   +3 more sources

Fuse and image enhancement

Journal of Gastroenterology and Hepatology, 2016
openaire   +2 more sources