Publication
Transformation-Invariant Analysis of Visual Signals with Parametric Models
Publications associées (215)
Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances
In this work, we resolve a big challenge that most current image quality metrics (IQMs) are unavailable across different image contents, especially simultaneously coping with natural scene (NS) images or screen content (SC) images. By comparison with exist ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020DeepFocus: a Few-shot Microscope Slide Auto-Focus using a Sample Invariant CNN-based Sharpness Function
Michael Stefan Daniel Liebling, Adrian Shajkofci
Autofocus (AF) methods are extensively used in biomicroscopy, for example to acquire timelapses, where the imaged objects tend to drift out of focus. AF algorithms determine an optimal distance by which to move the sample back into the focal plane. Current ...
2020"Venice Art Center" - Un nouveau centre d'art sur le Canal Grande
Venise et son architecture appartiennent à une réalité suspendue entre les époques. Si l’on fait abstraction du nombre alarmant de touristes, lorsqu’on explore les ruelles labyrinthiques, lorsqu’on admire d’un vaporetto les palais qui s’affichent sur le Ca ...
2020Image Matching Across Wide Baselines: From Paper to Practice
Pascal Fua, Kwang Moo Yi, Eduard Trulls Fortuny, Jiri Matas, Anastasiia Mishchuk
We introduce a comprehensive benchmark for local features and robust estimation algorithms, focusing on the downstream task-the accuracy of the reconstructed camera pose-as our primary metric. Our pipeline's modular structure allows easy integration, confi ...
2020Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation
Medical image segmentation is an important task forcomputer aided diagnosis. Pixelwise manual annotationsof large datasets require high expertise and is time consum-ing. Conventional data augmentations have limited benefitby not fully representing the unde ...
2020Image reconstruction method based on a trained non-linear mapping
Jean-Philippe Thiran, Dimitris Perdios, Marcel Arditi, Adrien Besson, Florian Martinez
The present invention concerns an array processing image reconstruction method comprising: receiving (13) a set of echo waveforms as measurements from the object of interest; defining (15) a measurement model linking an unknown image of the object to the m ...
2020VIDIT: Virtual Image Dataset for Illumination Transfer
Sabine Süsstrunk, Majed El Helou, Ruofan Zhou
Deep image relighting is gaining more interest lately, as it allows photo enhancement through illumination-specific retouching without human effort. Aside from aesthetic enhancement and photo montage, image relighting is valuable for domain adaptation, whe ...
2020Enhanced MR Image Classification Using Hybrid Statistical and Wavelets Features
Classification of brain tumor is one of the most vital tasks within medical image processing. Classification of images greatly depends on the features extracted from the image, and thus, feature extraction plays a great role in the correct classification o ...
2019Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration
David Andrew Barry, Ulrich Lemmin, Daniel Sage, Abolfazl Irani Rahaghi
A two-platform measurement system for realizing airborne thermography of the Lake Surface Water Temperature (LSWT) with ~0.8 m pixel resolution (sub-pixel satellite scale) is presented. It consists of a tethered Balloon Launched Imaging and Monitoring Plat ...
2019Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration
David Andrew Barry, Ulrich Lemmin, Daniel Sage, Abolfazl Irani Rahaghi
A two-platform measurement system for realizing airborne thermography of the Lake Surface Water Temperature (LSWT) with ~0.8 m pixel resolution (sub-pixel satellite scale) is presented. It consists of a tethered Balloon Launched Imaging and Monitoring Plat ...
2019