HDR Image and Video Processing -- Max-Planck-Institut für Informatik Tremendous progress in the development and accessibility of high dynamic range (HDR) technology that we witness in recent years creates many interesting opportunities and challenges in computer vision, image processing and graphics. The goal of this web page is to provide information on a complete pipeline for HDR image and video processing from acquisition, through compression and quality evaluation, to display. We include links to relevant papers and project pages. We also provide source code of tools useful for HDR image and video manipulation. Image Acquisition Image and Video Compression Image and Video Enhancement Tone Mapping Image and Video Quality Evaluation Applications Software Packages PFStools: Library and a set of command line tools (and a viewer) for reading, writing, manipulating, and viewing HDR images and video frames. Resources Educational Materials Eurographics 2005 tutorial High Dynamic Range Techniques in Graphics: from Acquisition to Display (pdf, 16.9 MB) People
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Resize Images online Fast High Dynamic Range Image Deghosting for Arbitrary Scene Motion | Simon Silk Graphics Interface 2012 Simon Silk Jochen Lang School of Electrical Engineering and Computer Science University of Ottawa Abstract High Dynamic Range (HDR) images of real world scenes often suffer from ghosting artifacts caused by motion in the scene. We address ghosting by performing change detection on exposure-normalized images, then reducing the contribution of moving objects to the final composite on a frame-by-frame basis. We demonstrate the success of our approach on challenging ghosting scenarios, and that our results are comparable to existing state-of- the-art methods, while providing computational savings over these methods. Welcome to the supplementary material page for our paper Fast High Dynamic Range Image Deghosting for Abitrary Scene Motion, which will be presented at Graphics Interface 2012 in Toronto, Canada. This page is intended to provide supplementary material, and we will be adding to it over the coming weeks. Data sets The data sets used in our paper are posted below.
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D&H - PRINT Funt et al. HDR Dataset Funt et al. HDR Dataset The following is a data set of images of 105 scenes captured using a Nikon D700 digital still camera. Index: (Attributs of the images in each set) download - File Name: set_name + "index.mat" - Type: Matlab struct - Attributes: - + index: {set_name, cc, img, cc_align_info, img_align_info, bound_box, cc19_coord_xy} - | - set_name: name of the set - | + cc: list of Colorchecker images - | | - name: image file name - | | - shutter: shutter speed - | | - time: time stamp - | | - iso: iso value - | | - aperture: aperture value - | + img: list of images without Colorchecker - | | - ... Base Images: (Divided into 15 parts, 1~2GB each) 123456789101112131415 File Name: set_name + image_name + shutter_speed + aperture + iso + time HDR Images: download File Name: set_name Measured Illumination: (White patch values of the 4 Colorcheckers of each set) download Funt, B. and Shi, L., The Rehabilitation of MaxRGB, Proc.
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