Improving vocal tract reconstruction and modeling through super-resolution volume reconstruction technique

2012 ◽  
Vol 132 (3) ◽  
pp. 2088-2088
Author(s):  
Jonghye Woo ◽  
Xinhui Zhou ◽  
Maureen Stone ◽  
Jerry L. Prince ◽  
Carol Y. Espy-Wilson
Keyword(s):  
Vocal Tract ◽  
Super Resolution ◽  
Reconstruction Technique ◽  
Volume Reconstruction

scholarly journals 3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction

2021 ◽  
Vol 69 ◽  
pp. 101957
Author(s):  
Rewa R. Sood ◽  
Wei Shao ◽  
Christian Kunder ◽  
Nikola C. Teslovich ◽  
Jeffrey B. Wang ◽  
...  
Keyword(s):  
Super Resolution ◽  
3D Registration ◽  
Volume Reconstruction ◽  
Prostate Mri ◽  
Histopathology Images

Simulation of the Mechanism of Insect Bionic Compound Eye Super-Resolution Restoration Technology of Copper Strip Surface Defect Images

2013 ◽  
Vol 462-463 ◽  
pp. 302-307
Author(s):  
Xiao Dan Sun ◽  
Xin Nan Fan ◽  
Ming Qiang Ling ◽  
Hong Hai Zhuang ◽  
Zhuo Zhang ◽  
...  
Keyword(s):  
Surface Defect ◽  
Compound Eye ◽  
Super Resolution ◽  
Reconstruction Technique ◽  
Copper Strip ◽  
Strip Surface ◽  
Imaging Technology ◽  
Inspection Process ◽  
Defect Image ◽  
Surface Defect Detection

In view of the problem that in traditional copper strip surface defect inspection process, the low resolution of the collected images will greatly decrease the accuracy of the detect defects, through the study of biological bionic imaging technology, combined with insect bionic compound eye imaging technology, this paper proposes a visual simulation insects bionic mechanism of the copper strip surface defect image super-resolution reconstruction technique. Through the study of biological bionic imaging technology, and take the advantage of insect compound eye visual imaging mechanism, this paper uses multiple linear array CCD image sensors to collect images aimed at getting defect images in all perspectives. The actual input images are restored by the method of super-resolution reconstruction using the sample library to improve the resolution of the image. Through the large amount of experiments of different copper strip surface defect images, and then compare the results, it can be seen that taking this papers method to dispose the defect images, will improve the images PSNR value, and has greatly improved the images quality, which will do good to improve the accuracy of the copper strip surface defect detection.

scholarly journals Dynamic Tomographic Reconstruction of Deforming Volumes

Materials ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 1395 ◽  
Author(s):  
Clément Jailin ◽  
Stéphane Roux
Keyword(s):  
Tomographic Reconstruction ◽  
Large Strains ◽  
Reconstruction Technique ◽  
Proof Of Concept ◽  
Volume Reconstruction ◽  
Multi Scale ◽  
Proper Volume ◽  
Step Algorithm ◽  
And Performance

The motion of a sample while being scanned in a tomograph prevents its proper volume reconstruction. In the present study, a procedure is proposed that aims at estimating both the kinematics of the sample and its standard 3D imaging from a standard acquisition protocol (no more projection than for a rigid specimen). The proposed procedure is a staggered two-step algorithm where the volume is first reconstructed using a “Dynamic Reconstruction” technique, a variant of Algebraic Reconstruction Technique (ART) compensating for a “frozen” determination of the motion, followed by a Projection-based Digital Volume Correlation (P-DVC) algorithm that estimates the space/time displacement field, with a “frozen” microstructure and shape of the sample. Additionally, this procedure is combined with a multi-scale approach that is essential for a proper separation between motion and microstructure. A proof-of-concept of the validity and performance of this approach is proposed based on two virtual examples. The studied cases involve a small number of projections, large strains, up to 25%, and noise.

scholarly journals Improved vocal tract reconstruction and modeling using an image super-resolution technique

2013 ◽  
Vol 133 (6) ◽  
pp. EL439-EL445 ◽  
Author(s):  
Xinhui Zhou ◽  
Jonghye Woo ◽  
Maureen Stone ◽  
Jerry L. Prince ◽  
Carol Y. Espy-Wilson
Keyword(s):  
Vocal Tract ◽  
Super Resolution ◽  
Image Super Resolution
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