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Paper Abstract and Keywords
Presentation 2026-06-22 10:50
A Study on Methods for Evaluating Still Images in Quantum Information Space
Norifumi Kawabata (Kanazawa Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In image and multimedia processing using quantum information processing, establishing methods for data compression and image quality assessment (QIQA) is a critical challenge. In our previous study, we proposed a data compression method for 360-degree camera images using quantum information and computer science; however, a concrete investigation into image quality assessment remained an unaddressed issue. Furthermore, most conventional QIQA studies utilizing representation models such as FRQI and NEQR to map images into quantum states have been limited to verification using small-scale toy images. Naive application to realistic high-resolution still images, such as high-definition (HD) quality, is challenging due to resource constraints, specifically the explosive increase in the required number of qubits and multi-controlled gates. To address this, this study investigates a realistic classical-quantum hybrid image quality assessment method that incorporates patch division and region of interest (ROI) sampling via classical image processing. The proposed method utilizes techniques such as the Swap Test to detect similarity directly within the quantum state without decoding the image back into classical space. Through quantitative comparative experiments using natural images, 3D computer graphics (3DCG), and 360-degree camera images, we clarify how differences in representation models—specifically FRQI, which represents color information via phase, and NEQR, which uses digital bitstrings—affect the detection sensitivity to image quality degradation. Based on these findings, we discuss the ideal approach for optimal quantum image quality assessment metrics.
Keyword (in Japanese) (See Japanese page) 
(in English) Quantum Image Representation / Quantum Image Quality Assessment (QIQA) / Region Of Interest (ROI) Sampling / Quantum Fidelity / Classical-quantum Hybrid Processing / / /  
Reference Info. ITE Tech. Rep., vol. 50, no. 17, ME2026-53, pp. 13-18, June 2026.
Paper # ME2026-53 
Date of Issue 2026-06-15 (IST, ME) 
ISSN Online edition: ISSN 2424-1970
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Conference Information
Committee IST ME IEICE-IE IEICE-BioX IEICE-SIP IEICE-MI  
Conference Date 2026-06-22 - 2026-06-23 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2026-06-IST-ME-IE-BioX-SIP-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Methods for Evaluating Still Images in Quantum Information Space 
Sub Title (in English)  
Keyword(1) Quantum Image Representation  
Keyword(2) Quantum Image Quality Assessment (QIQA)  
Keyword(3) Region Of Interest (ROI) Sampling  
Keyword(4) Quantum Fidelity  
Keyword(5) Classical-quantum Hybrid Processing  
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1st Author's Name Norifumi Kawabata  
1st Author's Affiliation Kanazawa University (Kanazawa Univ.)
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Speaker Author-1 
Date Time 2026-06-22 10:50:00 
Presentation Time 25 minutes 
Registration for ME 
Paper # IST2026-30, ME2026-53 
Volume (vol) vol.50 
Number (no) no.17 
Page pp.13-18 
#Pages
Date of Issue 2026-06-15 (IST, ME) 


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