Papers Multi Focus Image Fusion
“Multi Focus Image Fusion” 태그가 달린 논문 42편 · 필터 해제
Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning
Photoacoustic microscopy holds the potential to measure biomarkers' structural and functional status without labels, which significantly aids in comprehending pathophysiological conditions in biomedical research. However…
Multi Focus Image FusionImage Fusion via Vision-Language Model
Image fusion integrates essential information from multiple images into a single composite, enhancing structures, textures, and refining imperfections. Existing methods predominantly focus on pixel-level and semantic vis…
DecoderLanguage ModelingLanguage Modellingmodel+1SAMF: Small-Area-Aware Multi-focus Image Fusion for Object Detection
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. To address this issue, this study proposes a…
Multi Focus Image Fusionobject-detectionObject DetectionSaliency Detection+1Towards Real-World Focus Stacking with Deep Learning
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 pl…
Deep LearningMulti Focus Image FusionTrainable Self-Guided Filter for Multi-Focus Image Fusion
Cameras are limited in their ability to capture all-in-focus images due to their limited depth of field. This results in blurriness for objects too far in front of or behind the focused point. To overcome this limitation…
DecoderGenerative Adversarial NetworkMulti Focus Image FusionMulti-image Tranformer for Multi-focus Image Fusion
Multi-Focus Image Fusion (MFIF) is an image enhancement task that fuses images in which different regions are in focus to achieve an all-in-focus image. In recent years, Generative Adversarial Networks (GANs)-based appro…
Image EnhancementMulti Focus Image FusionMulti-Focus Image Fusion Based on Spatial Frequency(SF) and Consistency Verification(CV) in DCT Domain
Multi-focus is a technique of focusing on different aspects of a particular object or scene. Wireless Visual Sensor Networks (WVSN) use multi-focus image fusion, which combines two or more images to create a more accurat…
Multi Focus Image FusionMulti-Focus Image Fusion based on Gradient Transform
Multi-focus image fusion is a challenging field of study that aims to provide a completely focused image by integrating focused and un-focused pixels. Most existing methods suffer from shift variance, misregistered image…
Multi Focus Image FusionTransFuse: A Unified Transformer-based Image Fusion Framework using Self-supervised Learning
Image fusion is a technique to integrate information from multiple source images with complementary information to improve the richness of a single image. Due to insufficient task-specific training data and corresponding…
DecoderMulti-Exposure Image FusionMulti Focus Image FusionSelf-Supervised LearningDeep Fusion Prior for Plenoptic Super-Resolution All-in-Focus Imaging
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. Though various MFIF and SR…
AllBlind Super-ResolutionImage Super-ResolutionMulti Focus Image Fusion+1Cross Attention-guided Dense Network for Images Fusion
In recent years, various applications in computer vision have achieved substantial progress based on deep learning, which has been widely used for image fusion and shown to achieve adequate performance. However, sufferin…
Multi-Exposure Image FusionMulti Focus Image FusionSingle image deep defocus estimation and its applications
Depth information is useful in many image processing applications. However, since taking a picture is a process of projection of a 3D scene onto a 2D imaging sensor, the depth information is embedded in the image. Extrac…
Defocus EstimationImage EnhancementMulti Focus Image FusionUFA-FUSE: A novel deep supervised and hybrid model for multi-focus image fusion
Traditional and deep learning-based fusion methods generated the intermediate decision map to obtain the fusion image through a series of post-processing procedures. However, the fusion results generated by these methods…
Image ReconstructionMulti Focus Image FusionUnityDTMNet: A Discrete Tchebichef Moments-Based Deep Neural Network for Multi-Focus Image Fusion
Compared with traditional methods, the deep learning-based multi-focus image fusion methods can effectively improve the performance of image fusion tasks. However, the existing deep learning-based methods encounter a…
Computational EfficiencyDeep LearningMulti Focus Image FusionTowards Reducing Severe Defocus Spread Effects for Multi-Focus Image Fusion via an Optimization Based Strategy
Multi-focus image fusion (MFF) is a popular technique to generate an all-in-focus image, where all objects in the scene are sharp. However, existing methods pay little attention to defocus spread effects of the real-worl…
Multi Focus Image FusionSSIMEnd-to-End Learning for Simultaneously Generating Decision Map and Multi-Focus Image Fusion Result
The general aim of multi-focus image fusion is to gather focused regions of different images to generate a unique all-in-focus fused image. Deep learning based methods become the mainstream of image fusion by virtue of i…
2D Cyclist DetectionDecoderMulti Focus Image FusionMulti-focus Image Fusion for Visual Sensor Networks
Image fusion in visual sensor networks (VSNs) aims to combine information from multiple images of the same scene in order to transform a single image with more information. Image fusion methods based on discrete cosine t…
Multi Focus Image FusionMFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image Fusion
Multi-Focus Image Fusion (MFIF) is a promising image enhancement technique to obtain all-in-focus images meeting visual needs and it is a precondition of other computer vision tasks. One of the research trends of MFIF is…
Generative Adversarial NetworkImage EnhancementMulti Focus Image FusionMulti-focus Image Fusion: A Benchmark
Multi-focus image fusion (MFIF) has attracted considerable interests due to its numerous applications. While much progress has been made in recent years with efforts on developing various MFIF algorithms, some issues sig…
Multi Focus Image FusionReal-MFF: A Large Realistic Multi-focus Image Dataset with Ground Truth
Multi-focus image fusion, a technique to generate an all-in-focus image from two or more partially-focused source images, can benefit many computer vision tasks. However, currently there is no large and realistic dataset…
Multi Focus Image Fusion