This paper presents a novel solution to the High Dynamic Range (HDR) image compression problem using level set framework. Using level set framework, this method separates the HDR image into detail and profile. Then it uses a global tone mapping function to compress the profile. Finally it produces a low dynamic range version of the image for display by adding the details to the compressed profi...

BACKGROUND Registering CTs for patients receiving external beam radiotherapy (EBRT) with a boost dose from high-dose-rate brachytherapy (HDR) can be challenging due to considerable image discrepancies (e.g. rectal fillings, HDR needles, HDR artefacts and HDR rectal packing materials). This study is the first to comparatively evaluate image processing and registration methods used to register th...

Although the world has been high dynamic range (HDR) all along, commercial HDR displays’ burgeoning availability provides new and interesting challenges for colorimetry perceptual modeling. The biggest challenge stems from way that large luminance changes spatial temporal scales often compressed relative to natural world. This results in veridical luminance/chromaticity reproduction not represe...

JURY Frédéric Desprez Directeur de recherche Rapporteur Jean-Marc Menaud Professeur d’Université Rapporteur Lionel Seinturier Professeur d’Université Rapporteur Pascal Bouvry Professeur d’Université Membre du Jury Laurent Lefèvre Chargé de recherche, HDR Membre du Jury Nouredine Melab Professeur d’Université Membre du Jury Thierry Monteil Maître de Conférences, HDR Membre du Jury Jean-Marc Pier...

Introduction: Understanding the spatiotemporal features of the hemodynamic response (HDR) to functional brain stimulation is essential to the proper application of fMRI to study brain function. Previously, we showed that the BOLD-, CBF-, and CBV-HDR to a single electrical pulse can be robustly detected in α-chloralose anesthetized rats [1], and that both spatial and temporal characteristics of ...

We present a new approach to display High Dynamic Range (HDR) video using gradient based high dynamic range compression. To obtain HDR video, we utilize the split aperture camera. We apply a spatio-temporal gradient based video integration algorithm for fast and accurate integration of the three input HDR videos into a low dynamic range video, which is suitable for display. The spatiotemporal v...

High dynamic range (HDR) technologies support the capture and presentation of a wider range of luminance values than conventional systems. An important element of video processing is the transfer function which should emulate human perception and this needs to be revisited for HDR content and displays. In the paper, we adapt a nonlinearity designed for the tonemapping problem to the problem of ...

We present a novel algorithm to efficiently generate high quality high dynamic range (HDR) images. Our method is based on the idea of expanding the dynamic range of a reference image at granularity of tiles. In each tile, we use data from a single exposure, but different tiles can come from different exposures. We show that this approach is not only efficient and robust against camera and objec...

The Processing of high-dynamic-range (HDR) images is embodied by a lot of algorithms. This paper takes notice of one of these algorithms which is presented using the iCAM06. iCAM06 is capable of making color appearance predictions of HDR images based on CIECAM02 color predictions and incorporating spatial process models in the human visual system (HVS) for contrast enhancement. The effect of us...

High Dynamic Range (HDR) technology is able to offer high levels of immersivity with a dynamic range comparable to the Human Visual System (HVS). A primary drawback of HDR is that its memory and bandwidth requirements are significantly higher than for conventional video. The challenge is thus to develop means for efficiently compressing the video to a manageable bit rate without compromising pe...