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Updated: Dec 25, 2025

13:45
Hybrid µCT-FMT imaging and image analysis
Published on: June 4, 2015
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Hybrid image of three contents
Peeraya Sripian1, Yasushi Yamaguchi2
1SIT Research Laboratory, Shibaura Institute of Technology, Room# 04R31, 3-7-5 Toyosu, Koto-ku, Tokyo, 135-8548, Japan. peeraya@shibaura-it.ac.jp.
Visual Computing for Industry, Biomedicine, and Art
|April 3, 2020
Summary
This study introduces a new method for creating hybrid images, enabling multiple interpretations based on viewing distance. By using a special bandpass filter, middle frequencies are perceived as noise, enhancing the hybrid image effect.
Area of Science:
- Computer Vision
- Image Processing
- Perceptual Psychology
Background:
- Hybrid images combine low and high spatial frequencies for multi-interpretation visuals.
- Previous methods were limited to similar, aligned source images.
- A noise-insertion technique was previously developed for dissimilar images.
Purpose of the Study:
- To propose a novel method for synthesizing hybrid images with an added middle-viewing distance interpretation.
- To develop a technique for extracting middle-frequency (MF) components that appear as noise from afar and up close.
Main Methods:
- A special bandpass filter was designed to extract middle-frequency (MF) image components.
- Parameter tuning experiments were conducted to determine optimal cutoff frequencies for the MF filter.
- The MF extraction process was designed to generate ringing artifacts that minimize perception at far and close distances.
Main Results:
- The proposed bandpass filtering method successfully extracts MF components.
- Ringing artifacts generated during MF extraction were found to effectively mask the middle frequency at different viewing distances.
- Parameter tuning identified suitable cutoff frequencies for MF image design.
Conclusions:
- The novel method allows for the creation of hybrid images with effective multi-distance perception.
- The use of controlled ringing artifacts is a viable strategy to manage MF perception in hybrid images.
- This technique expands the possibilities for synthesizing complex hybrid images from unaligned or dissimilar sources.
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