Honeycomb effect elimination in differential phase fiber-bundle-based endoscopy

Optics Express, Journal Year: 2024, Volume and Issue: 32(12), P. 20682 - 20682

Published: May 13, 2024

Fiber-bundle-based endoscopy, with its ultrathin probe and micrometer-level resolution, has become a widely adopted imaging modality for in vivo imaging. However, the fiber bundles introduce significant honeycomb effect, primarily due to multi-core structure crosstalk of adjacent cores, which superposes pattern image on original image. To tackle this issue, we propose an iterative-free spatial pixel shifting (SPS) algorithm, designed suppress effect enhance real-time performance. The process involves creation three additional sub-images by one at 0, 45, 90 degree angles. These four are then used compute differential maps x y directions. By performing spiral integration these maps, reconstruct honeycomb-free improved details. Our simulations experimental results, conducted self-built bundle-based endoscopy system, demonstrate effectiveness SPS algorithm. significantly improves quality reflective objects unlabeled transparent scattered objects, laying solid foundation biomedical endoscopic applications.

Language: Английский

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Honeycomb Artifact Removal Using Convolutional Neural Network for Fiber Bundle Imaging

Sensors, Journal Year: 2022, Volume and Issue: 23(1), P. 333 - 333

Published: Dec. 28, 2022

We present a new deep learning framework for removing honeycomb artifacts yielded by optical path blocking of cladding layers in fiber bundle imaging. The proposed framework, HAR-CNN, provides an end-to-end mapping from raw image to artifact-free via convolution neural network (CNN). synthesis patterns on ordinary images allows conveniently and validating the without enormous ground truth collection extra hardware setups. As result, HAR-CNN shows significant performance improvement pattern removal also detailed preservation 1961 USAF chart sample, compared with other conventional methods. Finally, is GPU-accelerated real-time processing enhanced mosaicking performance.

Language: Английский

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Formalin Adulteration in Fish: A State-of-the-art Review on its Prevalence, Detection Advancements, and Affordable Device Innovations

Trends in Food Science & Technology, Journal Year: 2024, Volume and Issue: 153, P. 104708 - 104708

Published: Sept. 10, 2024

Language: Английский

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Optical Fibers for Biophotonic Applications

Graduate texts in physics, Journal Year: 2022, Volume and Issue: unknown, P. 55 - 95

Published: Jan. 1, 2022

Language: Английский

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