Digital Image Reconstruction from Multiple-Angle Views Diversity Using Digital Filter Techniques

2005 ◽  
Author(s):  
S. Li ◽  
C. Wu
Keyword(s):  
Image Reconstruction ◽  
Digital Filter ◽  
Digital Image

scholarly journals An Approach for Scratch Removal from Digital Image using Image Reconstruction

2013 ◽  
Vol 62 (18) ◽  
pp. 1-5
Author(s):  
Md. IqbalQuraishi ◽  
Mallike De ◽  
Goutam Das ◽  
Abhishek Srivastav
Keyword(s):  
Image Reconstruction ◽  
Digital Image

Digital image reconstruction using the Legendre and Chebyshev moments

2004 ◽  
Author(s):  
Alfonso Padilla-Vivanco ◽  
A. Colunga-Ruiz
Keyword(s):  
Image Reconstruction ◽  
Digital Image

scholarly journals Robust Digital Image Reconstruction via the Discrete Fourier Slice Theorem

2014 ◽  
Vol 21 (6) ◽  
pp. 682-686 ◽  
Author(s):  
Shekhar S. Chandra ◽  
Nicolas Normand ◽  
Andrew Kingston ◽  
Jeanpierre Guedon ◽  
Imants Svalbe
Keyword(s):  
Image Reconstruction ◽  
Digital Image ◽  
Slice Theorem ◽  
Fourier Slice Theorem

Image reconstruction by Krawtchouk moments via digital filter

2017 ◽  
Author(s):  
Hicham Karmouni ◽  
Tarik Jahid ◽  
Zouhir Lakhili ◽  
Abdeslam Hmimid ◽  
Mhamed Sayyouri ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Digital Filter ◽  
Krawtchouk Moments

scholarly journals Design of Sanda Action Reconstruction Model Based on 3D Images

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Hongwei Zhao
Keyword(s):  
Image Reconstruction ◽  
Digital Image ◽  
Corner Detection ◽  
Reconstruction Method ◽  
Feature Points ◽  
3D Image ◽  
Phase Compensation ◽  
3D Image Reconstruction ◽  
Compensation Methods ◽  
Digital Frame

In order to improve the training level of Sanda movement, this article uses an image analysis method to reconstruct the detailed characteristics of the movement and apply them to the actual training process. Since the traditional wavelet reconstruction method is affected by the accuracy of the decomposition scale, this paper proposes an improved method of Sanda action based on 3D image reconstruction. First, the method relies on frame adjacent phase compensation and digital image stabilization techniques to perform digital frame operations on the image. Then, scanning and corner detection are used for image reconstruction, where adjacent phase compensation methods are used to match feature points and gray pixels. Image extraction is performed by extracting key feature points of the action 3D image, and a fast frame detection method is used to stabilize the image of the digital image, thereby improving the image quality of image reconstruction. The experimental results show that the method has good image output effect and has a high application value in Sanda guidance and optimization.

Recasting a Viking warrior woman from Ribe: 3D digital image reconstruction compared

2020 ◽  
Vol 32 ◽  
pp. 102455
Author(s):  
Sarah Croix ◽  
Pieterjan Deckers ◽  
Søren M. Sindbæk
Keyword(s):  
Image Reconstruction ◽  
Digital Image
Sign in / Sign up

Export Citation Format

Share Document