Papers Image Harmonization
“Image Harmonization” 태그가 달린 논문 99편 · 필터 해제
A Target-Free Harmonization Method for MRI
In MRI, variations in scan parameters, sequence, or hardware can lead to discrepancies in image appearance, even for the same subject. These inconsistencies, known as domain shifts, can hinder image analysis and degrade …
Image HarmonizationHarmoniDiff-RS: Training-Free Diffusion Harmonization for Satellite Image Composition
Satellite image composition plays a critical role in remote sensing applications such as data augmentation, disaste simulation, and urban planning. We propose HarmoniDiff-RS, a training-free diffusion-based framework for…
Image HarmonizationData AugmentationHistopathology Image Normalization via Latent Manifold Compaction
Batch effects arising from technical variations in histopathology staining protocols, scanners, and acquisition pipelines pose a persistent challenge for computational pathology, hindering cross-batch generalization and …
Representation LearningImage HarmonizationAcquisition of interpretable domain information during brain MR image harmonization for content-based image retrieval
Medical images like MR scans often show domain shifts across imaging sites due to scanner and protocol differences, which degrade machine learning performance in tasks such as disease classification. Domain harmonization…
Content-Based Image RetrievalRepresentation LearningImage ReconstructionImage HarmonizationRegion-to-Region: Enhancing Generative Image Harmonization with Adaptive Regional Injection
The goal of image harmonization is to adjust the foreground in a composite image to achieve visual consistency with the background. Recently, latent diffusion model (LDM) are applied for harmonization, achieving remarkab…
Image HarmonizationHarmonization in Magnetic Resonance Imaging: A Survey of Acquisition, Image-level, and Feature-level Methods
Magnetic resonance imaging (MRI) has greatly advanced neuroscience research and clinical diagnostics. However, imaging data collected across different scanners, acquisition protocols, or imaging sites often exhibit subst…
Image HarmonizationGen-n-Val: Agentic Image Data Generation and Validation
Recently, Large Language Models (LLMs) and Vision Large Language Models (VLLMs) have demonstrated impressive performance as agents across various tasks while data scarcity and label noise remain significant challenges in…
Image HarmonizationInstance SegmentationObjectobject-detection+6DISARM++: Beyond scanner-free harmonization
Harmonization of T1-weighted MR images across different scanners is crucial for ensuring consistency in neuroimaging studies. This study introduces a novel approach to direct image harmonization, moving beyond feature st…
Image HarmonizationSkull StrippingEfficient and robust 3D blind harmonization for large domain gaps
Blind harmonization has emerged as a promising technique for MR image harmonization to achieve scale-invariant representations, requiring only target domain data (i.e., no source domain data necessary). However, existing…
HallucinationImage HarmonizationLearning to Harmonize Cross-vendor X-ray Images by Non-linear Image Dynamics Correction
In this paper, we explore how conventional image enhancement can improve model robustness in medical image analysis. By applying commonly used normalization methods to images from various vendors and studying their influ…
Exposure CorrectionImage EnhancementImage HarmonizationMedical Image Analysis+1SceneBooth: Diffusion-based Framework for Subject-preserved Text-to-Image Generation
Due to the demand for personalizing image generation, subject-driven text-to-image generation method, which creates novel renditions of an input subject based on text prompts, has received growing research interest. Exis…
Image GenerationImage HarmonizationLayout GenerationText to Image Generation+1HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment
Image composition involves extracting a foreground object from one image and pasting it into another image through Image harmonization algorithms (IHAs), which aim to adjust the appearance of the foreground object to bet…
Image HarmonizationImage Quality AssessmentSelf-Supervised LearningRetrieval Augmented Image Harmonization
When embedding objects (foreground) into images (background), considering the influence of photography conditions like illumination, it is usually necessary to perform image harmonization to make the foreground object co…
Data AugmentationImage HarmonizationRetrievalImage Harmonization using Robust Restricted CDF Matching
Deployment of machine learning algorithms into real-world practice is still a difficult task. One of the challenges lies in the unpredictable variability of input data, which may differ significantly among individual use…
Image HarmonizationBIFRÖST: 3D-Aware Image compositing with Language Instructions
This paper introduces Bifr\"ost, a novel 3D-aware framework that is built upon diffusion models to perform instruction-based image composition. Previous methods concentrate on image compositing at the 2D level, which fal…
counterfactualImage HarmonizationDiffusion based multi-domain neuroimaging harmonization method with preservation of anatomical details
Multi-center neuroimaging studies face technical variability due to batch differences across sites, which potentially hinders data aggregation and impacts study reliability.Recent efforts in neuroimaging harmonization ha…
AnatomyDenoisingImage HarmonizationBeyond MR Image Harmonization: Resolution Matters Too
Magnetic resonance (MR) imaging is commonly used in the clinical setting to non-invasively monitor the body. There exists a large variability in MR imaging due to differences in scanner hardware, software, and protocol d…
Image HarmonizationSuper-ResolutionUnpaired Volumetric Harmonization of Brain MRI with Conditional Latent Diffusion
Multi-site structural MRI is increasingly used in neuroimaging studies to diversify subject cohorts. However, combining MR images acquired from various sites/centers may introduce site-related non-biological variations. …
AnatomyImage HarmonizationDiverse Image Harmonization
Image harmonization aims to adjust the foreground illumination in a composite image to make it harmonious. The existing harmonization methods can only produce one deterministic result for a composite image, ignoring that…
Image HarmonizationA review of handcrafted and deep radiomics in neurological diseases: transitioning from oncology to clinical neuroimaging
Medical imaging technologies have undergone extensive development, enabling non-invasive visualization of clinical information. The traditional review of medical images by clinicians remains subjective, time-consuming, a…
Decision MakingDiagnosticImage Harmonization