Papers Image Enhancement
“Image Enhancement” 태그가 달린 논문 1,116편 · 필터 해제
Efficient 3D Whole-Body PET Image Denoising via Conditional Rectified Flow With Optimized Sampling Strategy
Reducing radiation exposure in Positron Emission Tomography (PET) is important for patient safety; however, ultra-low-dose imaging suffers from severe noise, which may affect diagnostic interpretation without appropriate…
Computational EfficiencyImage EnhancementImage Denoising3D-USE: From Image-Level to Scene-Level Underwater Enhancement
Underwater 3D reconstruction faithfully reproduces the color shifts and visibility loss of captured views, while physical inversion may leave estimation errors in the recovered scene appearance. We formulate Underwater S…
Image Enhancement3D ReconstructionDynamic SpectraFormer for Ultra-High-Definition Underwater Image Enhancement
Underwater images suffer from color distortion, haze, and poor visibility due to light refraction and absorption in water. These challenges significantly impact the utilization of Autonomous Underwater Vehicles (AUVs) or…
Image EnhancementBinarized High-Efficiency RAW Video Restoration and Beyond
RAW video restoration is fundamental to high-quality low-level perception and serves as the basis for a wide range of downstream vision applications. While binary neural networks (BNNs) enable efficient lightweight deplo…
Monocular Depth EstimationVideo RestorationImage EnhancementObject DetectionOvercoming Attention Drift: Homogeneity-Heterogeneity Guided Feature Aggregation for Low-Light Remote Sensing Image Enhancement
Restoring high-fidelity remote sensing imagery from extreme low-light degradation is indispensable for reliable Earth observation and downstream machine vision. However, under severe noise and illumination corruption, ex…
Image EnhancementAeroLLE: Constrained Pseudo-Supervision for Nighttime Aerial Image Enhancement with the AeroNight-1.5K Benchmark
Nighttime aerial image enhancement is challenged by spatially nonuniform exposure, mixed illumination, and weak structural evidence, while registered normal-light targets are difficult to capture from moving platforms. G…
Image EnhancementTwo-Stage Teacher-Student Reliable Prior Learning for Robust Underwater Image Enhancement
Underwater image enhancement (UIE) aims to recover clear images from observations affected by wavelength-dependent absorption, scattering, and spatially nonuniform degradation. Although existing generative methods can ha…
Instance SegmentationImage EnhancementObject DetectionLearning Color Grading, No Photo Sharing: Federated Aesthetic Preference Learning for Personalized Image Enhancement
Personalized image enhancement should reflect individual aesthetic taste, yet learning such preferences commonly depends on private photos and ratings that are unsuitable for centralized collection. The task must infer p…
Image EnhancementCLUIE: Clustering-Aware Recurrent Propagation with Local Structural Compensation for Underwater Image Enhancement
Underwater image enhancement remains challenging due to wavelength-dependent light absorption, scattering, and backscattering, which jointly cause color distortion, contrast degradation, and detail loss. Since these degr…
Long-range modelingImage EnhancementAdaptive Contrast Enhancement and Optimised Feature Matching for RootSIFT-Based Palm-Vein Recognition
Palm-vein recognition is a highly secure biometric modality due to the uniqueness and subcutaneous nature of vein patterns. However, low contrast in palm-vein images, caused by NIR light scattering and sensor limitations…
Image EnhancementWREN: Low Light Image Enhancement Using Retinex theory-based Double U-Net-like Structures
This paper proposes a neural network for low light image enhancement (LLIE) based on retinex theory to make LLIE robust for various dynamic range scenes. The retinex theory is an image formulation model inspired by a hum…
Image EnhancementVirtual Chromoendscopy with Tunable Visibility Enhancement
Chromoendoscopy (CE) is a common clinical practice that sprays indigo carmine blue dye onto the gastric surface to improve the visibility of gastric lesions, such as an early cancer. While CE is effective in detecting th…
Image EnhancementLeveraging Color Naming for Image Enhancement
Enhancing images to make them visually appealing is a persistent challenge in computer vision. Many deep-learning methods train models on paired datasets to replicate expert editing styles. However, these approaches stru…
Image EnhancementQuantum-Inspired Vision: Leveraging Wave-Particle Duality for Low-Illumination Enhancement
This study provides a theoretical expansion of the recent Data Relativistic Uncertainty (DRU) framework by formalizing a physics-to-AI paradigm for image enhancement. By modeling images as probabilistic wave functions ra…
Image EnhancementAircraft Detection in Satellite Imagery using Deep Learning Object Detectors
The object detection in satellite imagery has garnered considerable attention due to its extensive real-world applications and the inherent challenges it presents, including noise, fluctuating image quality, and intricat…
Image EnhancementObject DetectionReal-Time Underwater Image Enhancement via Frequency-Guided Dual-Path Attention
Real-time underwater image enhancement (UIE) is crucial for mobile underwater photography and autonomous robotic systems, where practical deployment typically requires low latency and compact models under constrained com…
Image EnhancementTopological summaries of fingerprint ridge patterns carry identity information
Fingerprints are the most widely deployed biometric. Verifying whether two impressions come from the same finger typically relies on minutiae, small landmarks such as skin ridge endings and bifurcations. These landmarks …
Image EnhancementFusing Transferred Priors and Physics-based Decomposition for Underwater Image Enhancement
The underwater images are captured within diverse water-medium conditions, leading to complex degradation, including color bias, low contrast, and blur effect. Recently, learning-based methods have demonstrated their pot…
Image EnhancementTransfer LearningA Dual-Branch Collaborative Framework for Joint Optimization of Underwater Image Enhancement and Object Detection
Due to wavelength dependent light absorption and scattering, underwater images usually suffer from color distortion and blurred details, which limits underwater object detection performance. Existing underwater image enh…
Image EnhancementObject DetectionVariational Deep Unfolding with Mamba-Based Nonlocal Modeling for Underwater Image Enhancement
Underwater imaging plays a crucial role in ocean engineering, although captured data often suffer from poor visibility and color distortion. To address these challenges, we propose a model-based deep unfolding network fo…
Image Enhancement