ITE Technical Group Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2022-02-21 12:45
Quality Assessment for 3D CG Image Colorization Using Visible Digital Watermarking after Noise Removal Based on Sparse Dictionary Learning Coding
Norifumi Kawabata (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Thus far, we discussed to represent image data whether it is possible or not to represent meaning image how requirement is satisfied from a view of image quality by preparing dictionary in advance, and then using sparse coding that represent a part or all of image data by combination as few as possible from these components. As past our study, we try to experiment for noise removal objectively using six types of noise, sparse dictionary learning. However, in this case, it was not enough to consider color component. Therefore, there is a problem at least from the view of practicality. On the other hand, it is difficult for 3D CG images included multidimensional information to restore color. Therefore, in this paper, first we add noise for 3D CG images, and then we remove noise from noise addition images based on sparse coding. After that, we try to experiment whether it is possible or not to restore processed images after noise removal as color image by carrying out the colorization using visible digital watermarking. Finally, we carried out the image quality assessment including color component before and after image processing, and then we discussed these results.
Keyword (in Japanese) (See Japanese page) 
(in English) Sparse Coding / Dictionary Learning / Noise Removal / Wavelet / Digital Watermarking / Colorization / Image Quality Assessment /  
Reference Info. ITE Tech. Rep., vol. 46, no. 6, ME2022-31, pp. 31-36, Feb. 2022.
Paper # ME2022-31 
Date of Issue 2022-02-14 (MMS, ME, AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
Download PDF

Conference Information
Conference Date 2022-02-21 - 2022-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English) online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2022-02-AIT-ME-MMS-IE-ITS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Quality Assessment for 3D CG Image Colorization Using Visible Digital Watermarking after Noise Removal Based on Sparse Dictionary Learning Coding 
Sub Title (in English)  
Keyword(1) Sparse Coding  
Keyword(2) Dictionary Learning  
Keyword(3) Noise Removal  
Keyword(4) Wavelet  
Keyword(5) Digital Watermarking  
Keyword(6) Colorization  
Keyword(7) Image Quality Assessment  
1st Author's Name Norifumi Kawabata  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name  
2nd Author's Affiliation ()
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2022-02-21 12:45:00 
Presentation Time 15 minutes 
Registration for ME 
Paper # MMS2022-6, ME2022-31, AIT2022-6 
Volume (vol) vol.46 
Number (no) no.6 
Page pp.31-36 
Date of Issue 2022-02-14 (MMS, ME, AIT) 

[Return to Top Page]

[Return to ITE Web Page]

The Institute of Image Information and Television Engineers (ITE), Japan