Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2026-02-19 18:00
The Relationship between Acceleration of Image Processing Program Based on LookUp Tables Algorithm and Coded Image Quality
Norifumi Kawabata (Kanazawa Univ.) ITS2025-64 IE2025-79
Abstract (in Japanese) (See Japanese page) 
(in English) With the practical application of multimedia generation AI such as Gemini and GPT-5 (ChatGPT, Chappy), it has become necessary to efficiently process and execute large volumes of commands generated by AI programs. Of course, accelerating graphics hardware using GPUs is also a key factor. However, if highly efficient program processing is not applied before sending instructions to the graphics hardware, it ultimately consumes significant power, imposes resource limitations, and impacts information systems. Therefore, especially in multimedia processing involving image data and other large datasets, program acceleration through improved programming content is essential. When performing computationally intensive tasks on a computer, it is considered efficient to precompute data that can be calculated in advance, store those values in an array (lookup table), and retrieve the desired data from the array instead of performing calculations each time. This reduces computational load and enables efficient processing. In this study, first we prepared multiple image processing programs. Subsequently, with the goal of accelerating these programs, we conducted verification experiments considering lookup table algorithms and architecture. We examined the effects of these algorithms and architecture from the perspectives of both program acceleration and coded image quality.
Keyword (in Japanese) (See Japanese page) 
(in English) LookUp Table / H.265/HEVC / Image Color Reduction / Gamma Correction / Histogram Equalization / OpenCV / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 356, IE2025-79, pp. 141-146, Feb. 2026.
Paper # IE2025-79 
Date of Issue 2026-02-12 (ITS, IE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF ITS2025-64 IE2025-79

Conference Information
Committee IE ITS ITE-MMS ITE-ME ITE-AIT ITE-SIP  
Conference Date 2026-02-19 - 2026-02-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2026-02-IE-ITS-MMS-ME-AIT-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The Relationship between Acceleration of Image Processing Program Based on LookUp Tables Algorithm and Coded Image Quality 
Sub Title (in English)  
Keyword(1) LookUp Table  
Keyword(2) H.265/HEVC  
Keyword(3) Image Color Reduction  
Keyword(4) Gamma Correction  
Keyword(5) Histogram Equalization  
Keyword(6) OpenCV  
Keyword(7)  
Keyword(8)  
1st Author's Name Norifumi Kawabata  
1st Author's Affiliation Kanazawa University (Kanazawa 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 ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2026-02-19 18:00:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2025-64, IE2025-79 
Volume (vol) vol.125 
Number (no) no.355(ITS), no.356(IE) 
Page pp.141-146 
#Pages 6 
Date of Issue 2026-02-12 (ITS, IE) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan