5 logiciels gratuits pour la photo HDR On a abordé plusieurs fois la photo HDR, cette technique qui permet d'assembler plusieurs images avec des réglages d'exposition différents. Photo par Paco CT, sour licence CC Je reprends les mots de Xavtek (Composer des images HDR.) pour définir le HDR : Citation: On peut se référer à l'article disponible ici (Composer des images HDR.) pour en savoir plus sur la photo HDR avec Photoshop. Photo par Mike9Alive, sous licence CC Voici aujourd'hui 5 logiciels gratuits pour la photo HDR, qui peuvent être utiles en complément du tutorial de Xavtek : 1. Création de photos HDR à partir de plusieurs images, tone mapping, import d'images RAW. 2. Certainement le plus connu : il permet de combiner plusieurs images pour créer une photo HDR, et dispose d'une fonction de tone mapping. 3. easyHDR Basic (Windows) De la même manière que les autres logiciels, il permet de créer des photos HDR à partir de différentes images. 4. 5. Un excellent logiciel, pour toutes plateformes.
Photomatix Pro Sample HDR tone mapped images created with easyHDR Sunset over the Arno river in Florence - view from Ponte Santa Trinita. Three photos were taken without a tripod, so they must have been aligned with easyHDR manual alignment tool before being merged together. True-HDR method with "Normal" selectivity was used to generate the HDR image, that was later tone mapped. © Bartłomiej Okonek Photogenics HDR Please click [here] to view the Photogenics HDR brochure in PDF format. Idruna Software Launches Photogenics HDR, the First 32 bit per channel High Dynamic Range Paint Package, at Siggraph 2002, July 23rd Update Photogenics HDR 7.0 is currently in beta testing, please email paul@idruna.com if you are interested in taking it for a spin. Idruna Software Inc., a specialist in innovative graphics software, is pleased to announce that the new high end version of Photogenics for Windows and Linux was launched at Siggraph 2002 in San Antonio, Texas. Photogenics HDR is the first graphics package capable of working with images in 32 bits per channel floating point format, otherwise known as High Dynamic Range, or simply HDR. Why 32 Bits Per Channel? HDR Imaging as Part of the 3D Pipeline The latest 3D rendering packages work in floating point format internally, and support a technique known as image based lighting. Top Left: HDR image of a 100 watt lamp.
High Dynamic Range (HDR), exposure blending and tone mapping sof Hyperfocal Design High Dynamic Range image processing tutorial with easyHDR PRO - If the input photos are misaligned in respect to each other you may take advantage of the automatic, or manual alignment. Both are capable of compensating for shift, rotation as well as perspective misalignments. The manual tool may be used in a semi-automatic way. Just use the automatic pin placement option, then you can verify the quality of alignment and do corrections (should they be needed). The idea of manual alignment is simple - just select the base photo and place the pin pairs (each pair is marked with a different color) in a way that they point exactly the same details on the base picture (top left) as well as on the photo to be aligned to it (top right). The live preview is shown in the lower left window, but please note that all the pins must be placed before the good preview is shown. In the majority of cases however, automatic alignment is sufficient. Tip: You can save the aligned photos to files.
High Dynamic Range Photography Cybergrain.com has now been retired. This article has been preserved because of it's popularity. Thanks for visiting Jon Meyer, www.jonmeyer.com Jon Meyer, Feb 2004 Updates July 16 2006: Minor revisions.May 2 2005: Adobe Photoshop CS 2 now supports HDR imaging. linkApril 7 2005: Fixes in response to this thread. Caveat: I am a photographer, approaching HDR imaging from the perspective of its expressive potential. Introduction For general photography, the results you get with today's digital cameras are about as good and sometimes better than as the results you get with film cameras. One area of rapid development is in dynamic range. In this article, I'll look at recent advances in the field of high dynamic range imaging. The Problem Here's the problem in a nutshell: Real-world scenes contain light ranges that exceed a 50,000:1 dynamic range. If you are not careful, you end up with results like this: You can see the chair but nothing out of the window. Old Solutions Here is an example from Monet.
HDR Software overview Certainly one of the most interesting upcoming technologies for photographers is High Dynamic Range Imaging (HDRI), allowing work with the full real world levels of illumination. While standard image formats utilizes 8 or 16 bits with applied gamma and color space, the HDR image format extends the bit depth up to 96bit in a linear color space. On this overview we will focus on the currently available GUI-based software packages that are able to create and process HDR images. I want to thank all authors of the respective software packages for their support during the creation of the overview, especially Geraldine Joffre, Andreas Schömann, Paul Nolan, and Thomas Lock. Aside from the windows based GUI packages Bernhard Vogl has evaluated, command line tools are also available and have been added to the table below. The following software packages have been tested: Software overview As you can see,there is a wide variety of fees you have to pay for the different software packages. See Also
High Dynamic Range images under Linux Not all image files are created equal. Most of us know this from working with the everyday formats like PNG, JPEG, and TIFF, each of which has its own pros and cons. But cutting-edge applications from cinematography to computer vision demand more range, color depth, and accuracy than these formats can deliver. That demand drove the development of what are called High Dynamic Range file formats. You may have seen the HDR acronym in reference to computer gaming as well. ... but some are less equal than others The trouble with older image formats is that they were designed with output devices in mind. Today, most of our entertainment media are being created and processed on computers. While we could modify existing image formats by tacking on extra pixels, researchers and industry people opted for a better idea: try to define an image format that can describe the entire scene in at least as much detail as the human eye can resolve -- even if it can't all be displayed on today's equipment.
WebHDR The human eye is capable of adapting to luminances as high as 1,000,000 cd/m² and as low as 0.000,000,1 cd/m². Once adapted, the eye can cope with a luminance range of 1:1000, but for a part of the scene, this can be as high as 1:10000. Most digital image formats have been designed with the capabilities of computer graphics displays in mind. A typical 24bit image with 8bit each for the red, green and blue channel can store 256 different values for each channel, resulting in a total range of 16 million colours (256 3 ). A value of zero is displayed as black, while 255 is interpreted as white. The problem should be clear by now. High dynamic range (HDR) images store the information in a format that has a range of many orders of magnitude. The dynamic range of the image below has been reduced. Tone-mapped synthetic HDR image If viewed with an appropriate image viewer, it is possible to re-adjust the image exposure of HDR images on the computer screen.
HDR - High Dynamic Range Compression - a Photoshop plugin First group lets you compress either shadows or lights. Shadow compression is also called shadow illumination. Compression Factor boosts the effect of the compression. Offset will add (or subtract) a given value from every pixel of the image, thus brightening or darkening the impression, but not changing the dynamic range by compression or expansion. Black Point will stretch the dynamic range down towards black, leaving the highlights as they are, but progressively deepening the darker colors. Shadow Depth does the same in principle, but it leaves everything brighter than Shadow Threshold alone. The last group lets you adjust saturation and also adjust the effect by mixing more or less with the original.
HDTR: High Dynamic Time Range Images contents what is HDTR? methods gallery Browse my extremely slowly growing collection of HDTR images. links still photography and the passage of time There are several ways to record the passage of time in a photograph, an inherently static medium. One is to use long exposure, a process in which the shutter remains open for seconds, or even minutes. Another way is to use a strobe light and illuminate the scene periodically, while the shutter is open. The art of scanner photography takes a different approach to recording a time interval in a single image. The method described here takes a new approach to depicting the passage of time. what is HDTR? An HDTR image is an image in which multiple frames taken over an arbitrary time interval are blended together. Depending on how the blending is done, the result is an image in which a strip, row or column, is derived from a specific point in time. An HDTR is generated from a set of time-lapse images.