The synthesis method for viewing angle-based hybrid image by using angle-dependent frequency noises

2023 Fiscal Year Final Research Report

• Project/Area Number: 19K20302
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 61010:Perceptual information processing-related
• Research Institution: Shibaura Institute of Technology
• Principal Investigator: Sripian Peeraya 芝浦工業大学, 工学部, 准教授 (70822542)
• Project Period (FY): 2019-04-01 – 2024-03-31
• Keywords: 画像処理 / ビデオ処理 / 計算錯覚 / 錯視 / 知覚 / 距離 / 応用錯視 / 人間視覚

Outline of Final Research Achievements

We developed the technology to create the new hybrid image, which is the method to allows different images to be perceived from specific distances. Firstly, we developed a technique for displaying hybrid images composed of three layers, enabling the effective presentation of multiple pieces of information within a single image. This innovation holds promise for enhancing the safety of visual information and opens up new avenues for applications in advertising and education. Additionally, we conducted evaluation experiments applying this technology to hybrid videos, confirming that different images can be perceived depending on the viewing distance, similar to the effects observed with static images. These achievements expand the possibilities of information display technology and are expected to contribute to further research and technological developments in the future.

Free Research Field

画像処理、知覚、錯視

Academic Significance and Societal Importance of the Research Achievements

本研究は、特定の距離や角度から異なる画像が見える「ハイブリッド画像」技術を改良し、静止画や動画への応用を探求しました。3枚の画像を重ねることで、より多様な情報を1つの画像に集約でき、視覚的隠蔽技術や大規模な表示板での情報提供方法の改善が期待されます。また、教育やエンターテイメント分野での応用も可能で、視覚情報の安全性向上や新たなエンターテイメントの創出に貢献します。これにより、広告・マーケティング分野での革新的な手法としても期待されます。