Data · dataset · 2026
Selected Supporting Image Dataset for “T-DDFM: An Advanced Denoising Diffusion Fusion Model for High-Precision Neutron Imaging”
Listed in ScienceDB
This dataset provides selected supporting image data for the manuscript “T-DDFM: An Advanced Denoising Diffusion Fusion Model for High-Precision Neutron Imaging”.
Description
It contains 26 PNG image files, with a total size of approximately 9.13 MiB. The dataset includes representative images used for multimodal image fusion, neutron-image denoising of a nickel-based alloy turbine blade, and training-strategy comparison experiments using slotted iron and stainless-steel samples.The study focuses on improving neutron image quality under low-flux and long-exposure imaging conditions.
The proposed T-DDFM method integrates tensor robust principal component analysis (TRPCA) with a denoising diffusion fusion model to suppress complex noise, including Gaussian noise, Poisson noise, and white-spot noise, while preserving structural details and improving the visibility of fine features in neutron radiography.The neutron imaging experiments described in the manuscript were conducted using a 2.5 MeV D-D neutron generator.
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The imaging system included a neutron source, collimator with polyethylene moderator, sample stage, ZnS/6LiF scintillator, mirror, light-tight shielding enclosure, CCD camera, and image-processing software. The estimated thermal-neutron flux at the sample position was 10^4–10^5 n/(cm²·s), and the source-to-sample distance was adjustable from 54 to 114 cm.The dataset is organized into three main parts: multimodal brain-image fusion examples, turbine-blade neutron-image denoising examples, and two-metal-sample training-variant comparison images.
It also includes metadata files, a representative image, a file manifest, checksum information, a data dictionary, and a quality-control report. The image data can be used as reference material for studies on neutron image denoising, diffusion-model-based image processing, image fusion, industrial nondestructive testing, and high-precision neutron radiography.This release contains selected supporting images currently available and is not the complete 150-image neutron training dataset described in the manuscript.
The complete original exposure sequences, source code, model weights, ROI coordinates, and metric-computation scripts are not included in this version.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00186.01174 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Biomedical engineering 71% · Image 75% · Imaging 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00186.01174 | 12 d ago | JSON v1 |
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|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4003 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:imaging | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |