Multi Focus Image Fusion

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (42 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Image Fusion via Vision-Language Model
  3 Feb 2024 3 repositories listed
  Therefore, we introduce a novel fusion paradigm named image Fusion via vIsion-Language Model (FILM), for the first time, utilizing explicit textual information from source images to guide the fusion process.
• End-to-End Learning for Simultaneously Generating Decision Map and Multi-Focus Image Fusion Result
  17 Oct 2020 2 repositories listed
  In this work, to handle the requirements of both output image quality and comprehensive simplicity of structure implementation, we propose a cascade network to simultaneously generate decision map and fused result with…
• An α-Matte Boundary Defocus Model Based Cascaded Network for Multi-focus Image Fusion
  29 Oct 2019 2 repositories listed Syntology ran 1 of 12 samples · 11 unverified
  Based on this {\alpha}-matte defocus model and the generated data, a cascaded boundary aware convolutional network termed MMF-Net is proposed and trained, aiming to achieve clearer fusion results around the FDB.
• A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model
  1 Nov 2018 2 repositories listed
  The Convolutional Sparse Coding (CSC) model has recently gained considerable traction in the signal and image processing communities.
• Multi-focus Image Fusion using dictionary learning and Low-Rank Representation
  23 Apr 2018 2 repositories listed
  In this paper, we propose a novel multi-focus image fusion method based on dictionary learning and LRR to get a better performance in both global and local structure.
• SAMF: Small-Area-Aware Multi-focus Image Fusion for Object Detection
  16 Jan 2024 1 repository listed
  Existing multi-focus image fusion (MFIF) methods often fail to preserve the uncertain transition region and detect small focus areas within large defocused regions accurately.
• Towards Real-World Focus Stacking with Deep Learning
  29 Nov 2023 1 repository listed
  Focus stacking is widely used in micro, macro, and landscape photography to reconstruct all-in-focus images from multiple frames obtained with focus bracketing, that is, with shallow depth of field and different focus…
• Trainable Self-Guided Filter for Multi-Focus Image Fusion
  21 Nov 2023 1 repository listed
  The proposed model comprises an encoder-decoder network, and a trainable self-guided filtering (TSGF) module that is specifically designed to enhance spatial consistency in the predicted focus map and to eliminate the…
• Multi-image Tranformer for Multi-focus Image Fusion
  20 Sep 2023 1 repository listed
  We develop a Multi-image Transformer (MiT) for MFIF by being inspired by a Spatial-Temporal Transformer Network (STTN) so that global connection can be modeled along multiple input images.
• Deep Fusion Prior for Plenoptic Super-Resolution All-in-Focus Imaging
  12 Oct 2021 1 repository listed
  Multi-focus image fusion (MFIF) and super-resolution (SR) are the inverse problem of imaging model, purposes of MFIF and SR are obtaining all-in-focus and high-resolution 2D mapping of targets.
• Cross Attention-guided Dense Network for Images Fusion
  23 Sep 2021 1 repository listed
  In this paper, we propose a novel cross-attention-guided image fusion network, which is a unified and unsupervised framework for multi-modal image fusion, multi-exposure image fusion, and multi-focus image fusion.
• Single image deep defocus estimation and its applications
  30 Jul 2021 1 repository listed
  Depth information is useful in many image processing applications.
• Towards Reducing Severe Defocus Spread Effects for Multi-Focus Image Fusion via an Optimization Based Strategy
  29 Dec 2020 1 repository listed
  According to the idea that each local region in the fused image should be similar to the sharpest one among source images, this paper presents an optimization-based approach to reduce defocus spread effects.
• FFusionCGAN: An end-to-end fusion method for few-focus images using conditional GAN in cytopathological digital slides
  3 Jan 2020 1 repository listed
  However, although existing image fusion techniques, including traditional algorithms and deep learning-based algorithms, can generate high-quality fused images, they need multiple images with different focus depths in…
• SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion
  5 Aug 2019 1 repository listed
  In this work, we propose a novel unsupervised deep learning model to address multi-focus image fusion problem.
• A Local Block Coordinate Descent Algorithm for the CSC Model
  1 Jun 2019 1 repository listed
  The Convolutional Sparse Coding (CSC) model has recently gained considerable traction in the signal and image processing communities.
• Ensemble of CNN for multi-focus image fusion
  12 Feb 2019 1 repository listed
  The obtained experimental results indicate that the proposed CNNs based network is more accurate and have the better decision map without post-processing algorithms than the other existing state of the art multi-focus…
• Efficient Misalignment-Robust Multi-Focus Microscopical Images Fusion
  21 Dec 2018 1 repository listed
  Our method provides a flexible and efficient way to integrate complementary and redundant information from multiple multi-focus ultra HD unregistered images into a fused image that contains better description than any…
• Multi-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks
  1 Apr 2018 1 repository listed
  A lot of multi-focus image fusion techniques have been introduced using considering the focus measurement in the spatial domain.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.