3D printed retinal vascular phantoms for high-resolution biophotonic image quality assessment via direct laser writing

2021 ◽  
Author(s):  
Hannah Horng ◽  
Kerry OBrien ◽  
Andrew Lamont ◽  
ryan sochol ◽  
Chen Yu ◽  
...  
2018 ◽  
Vol 52 ◽  
pp. 170
Author(s):  
James O’Halloran ◽  
Paddy Gilligan ◽  
Sinead Cleary ◽  
Susan Maguire ◽  
Gerald O’Connor ◽  
...  

2019 ◽  
Vol 57 ◽  
pp. 47-57 ◽  
Author(s):  
Irene Hernandez-Giron ◽  
Johan Michiel den Harder ◽  
Geert J. Streekstra ◽  
Jacob Geleijns ◽  
Wouter J.H. Veldkamp

Author(s):  
Abdullah Alsharhan ◽  
Olivia Marie Young ◽  
Xin Xu ◽  
Anthony J Stair ◽  
Ryan Daniel Sochol

2014 ◽  
Vol 26 (15) ◽  
pp. 2319-2322 ◽  
Author(s):  
Hao Zeng ◽  
Daniele Martella ◽  
Piotr Wasylczyk ◽  
Giacomo Cerretti ◽  
Jean-Christophe Gomez Lavocat ◽  
...  

2019 ◽  
Vol 25 (3) ◽  
pp. 77-84 ◽  
Author(s):  
Krzysztof Okarma

Image quality assessment (IQA) is one of the constantly active areas of research in computer vision. Starting from the idea of Universal Image Quality Index (UIQI), followed by well-known Structural Similarity (SSIM) and its numerous extensions and modifications, through Feature Similarity (FSIM) towards combined metrics using the multi-metric fusion approach, the development of image quality assessment is still in progress. Nevertheless, regardless of new databases and the potential use of deep learning methods, some challenges remain still up to date. Some of the IQA metrics can also be used efficiently for alternative purposes, such as texture similarity estimation, quality evaluation of 3D images and 3D printed surfaces as well as video quality assessment.


2013 ◽  
Vol 44 (1) ◽  
pp. 955-958 ◽  
Author(s):  
Tae Nakahara ◽  
Akira Sakaigawa ◽  
Mitsutaka Okita ◽  
Kojiro Ikeda ◽  
Masashi Mitsui ◽  
...  

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