Publications by Fayez Lahoud | EPFL Graph Search

AR in VR: Simulating augmented reality glass for image fusion

Developing an augmented reality (AR) system involves a multitude of interconnected algorithms such as image fusion, camera synchronization and calibration, and brightness control, each having diverse parameters. This abundance of features, while beneficial ...

2019

A comparative study on wavelets and residuals in deep super resolution

Sabine Süsstrunk, Majed El Helou, Ruofan Zhou, Fayez Lahoud

Despite the advances in single-image super resolution using deep convolutional networks, the main problem remains unsolved: recovering fine texture details. Recent works in super resolution aim at modifying the training of neural networks to enable the rec ...

2019

Multi-Modal Spectral Image Super-Resolution

Sabine Süsstrunk, Ruofan Zhou, Fayez Lahoud

Recent advances have shown the great power of deep convolutional neural networks (CNN) to learn the relationship between low and high-resolution image patches. However, these methods only take a single-scale image as input and require large amount of data ...

Springer2019

Zero-Learning Fast Medical Image Fusion

Fayez Lahoud

Clinical applications, such as image-guided surgery and noninvasive diagnosis, rely heavily on multi-modal images. Medical image fusion plays a central role by integrating information from multiple sources into a single, more understandable output. We prop ...

IEEE2019

Zero-Learning Fast Medical Image Fusion

Sabine Süsstrunk, Fayez Lahoud

Clinical applications, such as image-guided surgery and noninvasive diagnosis, rely heavily on multi-modal images. Medical image fusion plays a central role by integrating information from multiple sources into a single, more understandable output. We prop ...

2019

AR in VR: Simulating Infrared Augmented Vision

Sabine Süsstrunk, Fayez Lahoud

Developing an augmented reality (AR) system involves multiple algorithms such as image fusion, camera synchronization and calibration, and brightness control, each of them having diverse variants. This abundance of features, while beneficial in nature, is ...

2018

NTIRE 2018 Challenge on Spectral Reconstruction from RGB Images

Lei Zhang, Bing Zhang, Majed El Helou, Ruofan Zhou, Fayez Lahoud, Dong Liu, Marjan Shahpaski, Radu Timofte, Chang Chen, Soumik Sarkar

This paper reviews the first challenge on spectral image reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3- channel RGB image. The challenge was divided into 2 tracks: the “Clean” track sought HS reco ...

2018

Keyword-based Image Color Re-rendering with Semantic Segmentation

Sabine Süsstrunk, Fayez Lahoud, Bin Jin

Keyword-based image color re-rendering is a convenient way to enhance the color of images. Most methods only focus on the color characteristics of the image while ignoring the semantic meaning of different regions. We propose to incorporate semantic inform ...

2017