2019
DOI: 10.1007/s00034-019-01025-0
|View full text |Cite
|
Sign up to set email alerts
|

Fast Reconstruction of 3D Images Using Charlier Discrete Orthogonal Moments

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
5
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
5
2

Relationship

2
5

Authors

Journals

citations
Cited by 31 publications
(5 citation statements)
references
References 37 publications
0
5
0
Order By: Relevance
“…This section presents the findings of experiments to test the theoretical structure of the previous sections. In order to achieve the objective of this section, a process is envisaged for track screening: the Mean Square Error (MSE) used to measure the error of reconstruction between the original image and the restoration image, MSE given by this equation [25] in the case of 3D image:…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…This section presents the findings of experiments to test the theoretical structure of the previous sections. In order to achieve the objective of this section, a process is envisaged for track screening: the Mean Square Error (MSE) used to measure the error of reconstruction between the original image and the restoration image, MSE given by this equation [25] in the case of 3D image:…”
Section: Resultsmentioning
confidence: 99%
“…In theory, an original 3D image function f (x, y, z) of size [N × M × K ] can be represented from infinite series of 3D moments [25].…”
Section: D Image Reconstruction Via Dohmsmentioning
confidence: 99%
See 1 more Smart Citation
“…Moment descriptors are widely used for the analysis, storage and transmission of signals and images. They are successfully used in different applications such as pattern recognition [ 3 , 13 ], classification [ 16 , 28 ], reconstruction [ 7 , 21 ], compression [ 14 , 34 ] and watermarking [ 12 ]. The moments are defined as the coefficients of projection of signals or images on often orthogonal basis.…”
Section: Introductionmentioning
confidence: 99%
“…The key point of the application we present here relies on their novel properties related to their norm, and on the construction of the so-called weighted Krawtchouk-Sobolev type orthogonal polynomials. The use of orthogonal polynomials (and orthogonal moments) in a watermarking scheme is widely spread in the scientific community (see, for example [2][3][4][5][6][7][8][9] among many other references). Nevertheless, and to the best of our knowledge, it is the first time that any Sobolev-type orthogonal polynomial family has been considered in such an application, achieving reasonably different, and in some cases, positive results.…”
Section: Introductionmentioning
confidence: 99%