Data · dataset · 2026
LMIF: A Large-scale Multi-focus Image Fusion Dataset Based on Smartphones
Listed in ScienceDB
Description
In reality, due to the limitations of optical lens depth of field, the images captured by the imaging system only have clear imaging within the depth of field range, and the imaging is blurry outside the depth of field range, making it difficult to focus all targets in the same shooting environment in a single photographic image. Therefore, multi-focus image fusion technology has significant research significance. With the rapid development of technology and the popularization of smartphones mobile phones have become the most convenient and widely used photography tool.
At present, the public multi focus data set is mostly collected by professional equipment, which cannot well reflect the photo effect of mobile phones in real environment, so this paper uses devices that are more suitable for real environments to construct multi-focus image datasets based on mobile phones. The dataset was collected from different models of mobile phones and covers most of the mobile phone brands on the market today.
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In the process of data acquisition, jitter and environmental light will inevitably occur, and at the same time, the collected data will also have the problem of excessive resolution, which is not conducive to the fusion work, so this paper preprocesses the collected data. The dataset is currently divided into three parts: A (containing 66 pairs of images), B (containing 63 pairs of images) and C (containing 100 pairs of images).
The dataset contains two parts: unprocessed data and preprocessed data.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.43587 ↗
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
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.43587 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| 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_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |