sudo aptitude install qtpfsgui

Sepan disculpar mi estupidez, los dejo con el post original, tal cual lo hice en su momento, a continuación.

Hace poco conocí el concepto este del hdr en las imágenes y me atrapó bastante. Al punto de buscar herramientas para linux con ese objetivo, ya que sólo había puras opciones para win.

Fué entonces que di con este programa: Qtpfsgui. Que como su nombre lo indica está hecho en QT, pero en qt4, así que puede que no se lleve bien estéticamente con Gnome. Igual no tuve inconvenientes en compilarlo he instalarlo en ubuntu con Gnome. Si, escucharon bien, compilarlo.

No hay paquetes precompilados ni nada por el estilo, pero compilarlo desde las fuentes no es gran cosa, les voy a detallar lo que hice para lograrlo, para aquellos que no quieren dar muchas vueltas siguiendo estos pasos yo lo tengo andando sin problemas y en castellano. Para los mas experimentados mas vale pueden ir al README dentro de la carpeta de las fuentes.

Instalé las siguientes dependencias:

sudo apt-get install build-essential qt4-dev-tools libexiv2-dev fftw-dev libjpeg-dev libtiff-dev libopenexr-dev openexr

Con eso no tuve problemas en realizar los pasos de compilado, pero a no desesperar, que en caso de no contar con alguna dependencia, el script de instalación nos va a decir que es lo que falta y como conseguirlo fácilmente.

Obtener el programa desde la página del proyecto:

wget http://downloads.sourceforge.net/qtpfsgui/qtpfsgui-1.8.12.tar.gz

Descomprimimos:

tar -xzf qtpfsgui-1.8.12.tar.gz

vamos al directorio descomprimido:

cd qtpfsgui-1.8.12

Una ves allí antes que nada ejecutamos el siguiente comando para poder tener el programa en español:

lrelease project.pro

Luego:

qmake

Después:

make

Y por último:

sudo make install

Listo, ya podemos disfrutar de este excelente programa desde Aplicaciones>Gráficos>Qtpfsgui

Bueno acá les dejo un videito que hice mostrando básicamente como obtener una imagen hdr con este programa.

También les dejo un par de imágenes que hice.

Eso es todo gente, espero se diviertan como yo con esta herramienta.

Saludos

Commentate gente commentate....

Qtpfsgui (lead author Giuseppe Rota is open for rebranding ideas) is an HDR/tonemapping workflow tool available for Linux, FreeBSD, Windows and OS X.

It covers HDR creation through the merging of multiple exposures (using hugin's align_image_stack functionality if the images in the stack are not perfectly aligned). And it does tonemapping, offering a choice of eight tone mapping operators (TMO). This is what I like most about Qtpfsgi: the variety of processing options that it offers. Each TMO has its own strenght and weaknesses, and thus its own fields of application. Try them all, you will find your favorites for the different shooting situations!

We'll be looking in detail at the individual TMOs in the coming articles.

Common to all of them is that

• we need an HDR image to start with
• the image can be subject to a pre tone mapping gamma adjustment

Image to start with

Qtpfsgui can be used to compose HDR images from individual exposures. Or it can load the most common HDR file formats. Last but not least, it also load RAW images straight out of the camera. Granted, RAW images have more dynamic range than JPEG images, but in most cases they are still far away from true HDR. Nevertheless, applying TMO's to RAW images can yield some stunning results. Dare to experiment!

Also it is important to note that the appropriate TMO settings and the results change depending on the type of image processed. Dare to experiment with all sorts of images and available TMOs!

Pre Tone Mapping Gamma Adjustment

Gamma correction is the application of an exponential function to compress (gamma <1) or expand (gamma>1) the image's dynamic range. A gamma of 1 leaves it unchanged. Gamma <1 compresses the range, resulting in generally higher contrast and darker images. Gamma > 1 expands the range, resulting in generally brighter and lower contrast images. You will find out during the processing with the selected TMO whether applying a pre tone mapping gamma adjustment improves the image.

Last Warnings Before We Go

Tone mapping is a highly subjective topic. There is no right or wrong - follow your inspiration and develop your own style. Nevertheless, there are a few pitfalls:

Noise: If the source images are affected by noise, it is likely to be amplified by the TMOs. Try to shoot at low ISO, or filter noise in the input image before merging to HDR.

Settings: Don't expect the settings for one image to do the same magic on a completely different image. Settings are case by case. With time you will develop a feeling for each situation.

Saturation: A lot of tone mapped images are over saturated. Keep an eye on it.

Post processing: You will often want to load your tone mapped image and use simple adjustment layers such as levels and curves in your favorite image editor. The goal of the tone mapping process is to reveal the detail, not to finish the image.

Bernhard Vogl recently defined High Dynamic Range (HDR) in relation to Low Dynamic Range (LDR), where LDR is defined as "the range, your camera can capture with one shot".

Our inherently flawed capture and display methods (as Mark Banas calls them in a private email exchange) improve over time. Consequently Bernhard's definitions of LDR and HDR are a moving target.

Dynamic Range (DR) has a fixed relationship with the Contrast Ratio (CR), the ratio of the luminance of the brightest white to the luminance of the darkest black. They are both derived from the two extreme light quantities in the scene. They both define the boundaries of the range, but they still don't say anything about what's inside the range, it's quality.

The stripes below represent what's inside the range for the same, arbitrarily chosen DR, between the same white and the same black. They also have the same CR from white to black.

The last stripe, at 8 bits, most likely looks like a continuous gradient from white to black. A few modern displays have higher DR nowadays. Even if you are lucky enough to look at this page through one of those 50.000 USD displays, very few eyes are trained to discern such small contrasts. At less bits, banding occurs when the contrast between two adjacent steps on the scale becomes apparent to the average human eye.

What changes between the different stripes are the gradient steps, a characteristic specific of the primitive digital workflow where the number of steps is discreet and depends on the number of bits. At 1 bit there are 2 steps and at n bits there are n^2 steps. The quality of the DR is good enough when the contrast between two adjacent steps, is small enough not to be discernible as banding.

So what is high dynamic range? it is a push beyond LDR in two dimensions. First and foremost, to cover the scene's complete Natural Dynamic Range and avoid clipping out of range luminance values. And then it is about the improvement of the quality inside the range.

Bernhard goes on to say that "you will certainly use [LDR] most of your times". Similarly, Mark stated in the mentioned private exchange that before recurring to techniques to expand the captured dynamic range, proper exposure should be used to make good use of the dynamic range available from the capturing device.

That's the starting point indeed. Beyond that, there are cases for extra-exposures, that can be grouped in two categories:

1. Increased Dynamic Range (IDR): is what photographers like me do when they add a couple of exposures at the capture stage, usually with the in-camera Auto Exposure Bracket (AEB) function, to improve the detail in the image.

There is a strong case for using this technique also with scenes that would fit in the default dynamic range of the capture device. The capture device's response is not constant across the whole range. The extra exposures can improve the noise to signal ratio, particularly at the darker end:

And they can recover more detail in the highlights:

Averaging pixels across an exposure stack zeroes out sensor noise.

The technique is not always indicated since it costs more effort and has also drawbacks such as the ghosting when there is movement between the exposures.

2. "True" High Dynamic Range (HDR) is what graphic artists do when they make computer generated images (CGI) from virtual worlds using ray tracing software. When they use photographic input as image based lighting (IBL), they try to capture the whole Natural Dynamic Range. This often means capturing more exposures than what AEB as implemented in most prosumer and many professional cameras can do, often across ten and more exposures, either manually, paying attention not to move the camera when changing the shutter speed between exposures, or with computer-controlled cameras via USB or serial cable.

One could argue that at least theoretically there is an absolute natural dynamic range, marked at one end by the complete absence of photons and at the other end by the physically highest possible concentration of photons in space/time. But what is that highest concentration? nuclear fusion, like in the Sun? and how does distanceof the capturing sensor from the source of light affect the measured luminosity?

Both IDR and HDR processing require extra steps along the process. And tone mapping in the end:

There are many reasons to tonemap an image, and they can be summed up in two groups:

• To reproduce the same tonal response on devices with different response curves.

• To manipulate an image and highlight specific structures of interest (e.g. in medical imaging), or make it aesthetically pleasant and convey particular emotions in the viewer.

Manipulation is open-ended. The application drives the functionality. There is room for variety and creativity. Judgment is mostly subjective, particularly when the purpose is an artistic one.

I respectfully disagree with the opinion that tone mapping operators should have the function of tone reproduction only, even if it is expressed by Erik Reinhard, an expert on tone mapping and inventor of powerful tone mapping operators. Erik states that "if he wanted the image to have a specific 'look' or 'feel', he is perfectly capable of running the image through a set of Photoshop filters". Sure, why not. But why not running the image through tone mapping operators as well?

Reproduction is a holy grail. Sometimes justified, e.g. for a reporter who wants to convey facts not opinions.

Pursuing high fidelity reproduction only crowds researchers in a mutually exclusive space where there can be only one winner, the one that achieves the most "natural look". But what is this reference "natural look"? In the old days it was the debate of Fuji vs. Kodak color. In this early digital age our eyes have been trained to accept as "natural" the rudimentary output of sensors that in some areas still lag the silver-oxyde coated celluloid. With a lag of a few years we are afflicted by the same problems that afflict music.

I understand some people don't like what they call the "artificial look" of images tone mapped with "parameters that are vastly outside its useful operating range", and I respect that. It's subjective. Not everybody likes my art, and it is perfectly acceptable so.

Erik Reinhard's opinion reminds me of many inventors who have seen their inventions used for a different purpose than intended. Embrace the applications, don't fight them! Why limit yourself?

Below is a sequence of tone mappings of the same image, most of them done with HDR/tone mapping software like Photomatix or qtpfsgui. My objective was to create an artwork, that is called The Future of the Oil Industry. Click on the image to see a full spherical version with the currently retained tone mapping. As an artist I reserve myself the right to revisit my art, like painters used to do in the old day.

Photography is painting with light. Like it or not, tone mapping operators are here to stay as part of the modern photographer toolbox. Thank you for giving them to us, the more the merrier!

Picasa
Picasa staat niet in de standaard Ubuntu repository maar kan makkelijk van internet gedownload en geïnstalleerd worden. Download link: http://picasa.google.com/linux/thanks-deb.html.
Picasa is een bekend fotobeheertool van Google. Het is prettig in gebruik en heeft veel functies om foto's te bewerken en te beheren. Picasa kan foto's direct publiceren op het web, branden op een CD/DVD, verzenden per email of posten op een blog. Net als F-Spot houdt Picasa alle foto's in een soort bibliotheek, waarin gezocht kan worden op een bestandsnaam of een eerder aangebrachte omschrijvingen van de foto (tagging).

Gimp
Is een zeer uitgebreide applicatie om foto's te bewerken en is goed te vergelijken met de bekende Adobe PhotoShop. Gimp biedt ondersteuning aan layers (stapels). Elke layer werk als een soort filter die afzonderlijk van de originele foto bewerkt kan worden. Met deze applicatie kunnen bijna alle bekende afbeeldingsformaten geopend en bewerkt worden. Het RAW formaat wordt ook ondersteund. Dit formaat wordt veel gebruikt in de professionele fotografie. Om met het RAW formaat te kunnen werken moet de “gimp-dcraw” plug-in geïnstalleerd worden.
Installatie: sudo apt-get install gimp-dcraw

Qtpfsgui
Dit is een applicatie om HDR foto's te maken en bewerken. De HDR afkorting staat voor High Dynamic Range rendering. Volledige definitie van deze techniek is te vinden op deze wikipedia pagina.
Met deze applicatie kunnen een soort van 3D (meer realistische) foto's gemaakt worden. Om de HDR foto te maken hebben we meerdere foto's van hetzelfde object nodig die gemaakt zijn met verschillende sluitertijden of belichting. Hiervoor is een fotocamera met statief erg handig. Ik maak meestal drie foto's met de Auto-bracket functie die beschikbaar is op de meeste digitale camera's. Hiermee worden automatisch drie foto's in een serie gemaakt met andere exposure instellingen voor elke foto. Met de fotobewerkingsprogramma QTPFSGUI worden foto's semi-transparant gemaakt en boven elkaar gestapeld om het speciale effecten te verkrijgen.

Hier een voorbeeld van dire bron foto's met als resultaat een HDR foto.

Deze applicatie eist wel een krachtige PC. Renderen van drie bron foto's kan soms enkele minuten in beslag nemen. Qtpfsgui kent zeer veel instelmogelijkheden en kan verbluffende resultaten opleveren. Kijk eens op de Flickr.com voor de fotos met een HDR tag.

GPS tagging
Het is ontzettend handig om je vakantiefoto's te markeren met een exacte locatie waar die genomen zijn. Sommige moderne camera's beschikken over een ingebouwde GPS, wat dat automatisch kan doen. Maar het kan ook met een gewone digitale fototoestel en een GPS-ontvanger. En beetje GPS-ontvanger kan de afgelegde route opslaan in een digitale bestand. Meestal is dat een GPX formaat, maar elke andere format kan makkelijk geconverteerd worden naar GPX met het Linux programma “gpsbabel”. Installatie: sudo apt-get install gpbabel
Dit programma heeft ook een grafische uitvoering op het internet. Ga naar http://www.gpsvisualizer.com/gpsbabel/.
Voordat we beginnen met het maken van de foto's moet de klok op de fototoestel synchroon lopen met de tijd van de GPS-ontvanger. Hiermee kan het programma “gpscorrelate“ een match maken tussen de tijd wanneer de foto was genomen en de tijd en locatie van de GPS-ontvanger.
Dit programma heeft een simpele interface met keuze knoppen voor de foto's en het GPX bestand. Het is ook mogelijk om het eventuele tijdsverschil tussen de foto en het GPX bestand te corrigeren.
Installatie: sudo apt-get install gpscorrelate-gui

Als alles goed verlopen is, dan verschijnt in de column “State” het woord “match”. Dit betekent dat de foto nu gemarkeerd is met de geografische coördinaten. Zo een opgemaakte foto kunnen we nu op de websites van Flickr.com of PicasaWeb plaatsen. Op Flickr.com kan je dan in de gedetailleerde informatie van een foto een link naar de kaart zien, zoals op de afbeelding hieronder.

Met deze en nog andere applicaties is Ubuntu zeker een krachtige besturingssysteem voor een beginnende of zelfs voor een professionele fotograaf.

The latest World Wide Panorama event is online. Over 200 interpretations on the subject of Elevation, worldwide. I had an ambitious plan that was dependent on securing permission to publish pictures taken from private ground. Since I did not get the permission ahead of the shooting period, I went for an alternative plan.

I used qtpfsgui for some absolutely unrealistic tone mapping. Some will love it, some will hate it, it is purely subjective and I welcome all respectfully formulated opinions. Unfortunately the WWP site still lacks a feedback / comments facility. Post your comments here. Love it or hate it, I'd like to read from you.

Some photographers use an HDR/tonemapping workflow to achieve "realistic" images. I am not that breed of photographer. What is "realistic" anyway? When I want "realistic" images, enfuse is the tool I use.

An HDR workflow captures more dynamic range than what current display technology can show. The tonemapping process maps the captured dynamic range on the narrow dynamic range of the output device. There are dozens of tone mapping operators (TMOs), some more complex than others. Many of them can be parametrized. Together they give an almost infinite number of variation to choose from, and these can in turn can still be fine-tuned using curves, histogram, saturation and other traditional adjustments.

In the end what count is the visual effect that the photographer intends to achieve. To me, HDR/tonemapping is another, powerful tool in the toolbox that I use to draw with light.

Gestern Abend war ich noch kurz in Edewecht in der alten Nikolaikirche. Eine schöne alte Kirche aus dem 14. Jahrhundert mit einer recht berühmten Kanzel und einem holzgeschnitzten Altar. Kamera und Stativ hatte ich dabei...

Als HDR-Tool hab ich das hier schon erwähnte Open-Source-Produkt qtpfsgui verwendet.

(klick auf die Bilder öffnet immer eine größere Version)

Ersteinmal eine Außenaufnahme der Nikolaikirche vom Friedhof aus.

Die Kanzel, zusammengesetzt aus 5 verschiedenen Bildern unterschiedlicher Belichtungsstufe.

Der Innenraum der Kapelle. Ja... ich weiß, das Bild kippt total nach links, das passiert halt wenn man ein Weitwinkel nicht genau ausrichtet. Aber schön bunt ist es trotzdem... :-)

Insgesamt find ich das sehr interessant. Noch sehen mir die Bilder zu kitschig aus. Der Effekt ist einfach noch zu stark. Da muss ich noch ein wenig rumprobieren und an den diversen Einstellungsmöglichkieten des Programms herumbasteln. Die Kanzel find ich noch am Besten gelungen.

Klick auf das Bild öffnet ein größeres

Diese eher wie gemalt wirkenden Bilder entstehen durch das Übereinanderrechnen von unterschiedlich belichteten Bildern desselben Motivs. Dafür gibts diverse Programme. Ich hab einfach mal mit einem freeware Tool ( QTpfsgui) rumgespielt, bin davor eben kurz vor die Tür und hab mal ein paar Bilderchen gemacht um ein wenig Experimentiermaterial zu haben.

Dazu noch mal ein zweites (und ich möchte jetzt keine Kommentare über meinen Schreibtisch lesen - außer vielleicht "Nur ein Genie beherrscht das Chaos...") was ich gestern schon mal testweise fabriziert habe. Das war erheblich einfacher zu bearbeiten, da sich da nichts bewegt hat.

Wie gesagt: Momentan alles nur mal Versuche, vielleicht werde ich aber in meinen Urlauben dieses Jahr mal versuchen, zu der Technik auch mal die richtigen Motive zu finden...

There is one important configuration settings that I think you should try. On the main menu (the one with histogram) go to Tools, then select Preferences. Click on External Tools and then add '-4' (minus four) option to DCRaw - see picture.

Without it my test picture (no, I will not share it - it is better not to show examples of 'lame garage photography') I saw a pattern of green spots that ruined the effect. With 16 bit TIFFs (that is what '-4' does) the green pixels were not visible. This setting might be of use especially for Canon PowerShot S5 IS owners (I used the RAWs [converted to DNGs] from this camera for testing).

I will post some more info when I have a little bit more experience with this. I can say only one thing - it sure looks good!

¿Hace falta que diga que estoy más perdido que un pez?... bueno, pues eso. Ahora estoy buscando, sin mucho interés, prefiero esperar a que alguien me lo mande, un manual. Creo que se puede sacar mucho de aquí, sobre todo ideas que a la hora de tomar las fotos hay que tener en cuenta. A ver si hay suerte y veo eso prontito.

Por cierto, hay también una versión para Windows y MacOS.

Per questa foto ho usato direttamente Qtpfsgui: Nuovo HDR-->Carica le immagini e selezionare le solite 3 (almeno) immagini con esposizioni diverse, selezionare avanti ---> lasciare impostato tutto di default (profilo1) -->termina e attendere che abbia elaborato l'hdr.
Andare su "tonemappa l'hdr" e qui creare due immagini, una con il filtro "Frattal" che crea un effetto molto spinto (crea anche molto rumore che può essere diminuito con l'opzione "noise reduction") ed un'altra immagine con il filtro "Reinhard" che al contrario del primo è molto più soft. Salvare le immagini e chiudere.
Aprire Gimp con la prima immagine "frattal" e trascinare la seconda "reinhard" nel pannello dei livelli, verrà inserita in un nuovo livello. Ora agire sull'opacità (poco più in alto del livello appena creato) per far trasparire in superficie l'immagine con l'effetto più marcato e creare il giusto mix. Ritoccare curve e livelli fino a raggiungere il risultato voluto e salvare. E' più semplice a farsi che a spiegarsi. :D

Procurarsi:
- Reflex digitale (una buona compatta fa lo stesso)
- Un buon cavalletto (una base di appoggio in alternativa)
- Linux (io ho usato Ubuntu 7.10)
- Cinepaint (lo trovate nel Gestore Pacchetti Synaptic)
- Un plugin per gestire i file RAW (consiglio "DCRAW", che lo trovate in Synaptic)
- Qtpfsgui (consiglio questa versione: QUI e QUI)

Prima di tutto dobbiamo scattare la nostra foto, o meglio le nostre foto!
Eh si perchè abbiamo bisogno di almeno 3 foto (volendo si può fare anche con una sola) con 3 tipi di esposizione diverse... molte macchie fotografiche permettono di scattare in modalità Bracketing. Meglio se abbiamo la possibilità di salvare in RAW, avremo più informazioni e il risultato sarà migliore.

Ecco le mie foto di prova:

Normale (era al tramonto)

Sottoesposta

Sovraesposta

Ora che abbiamo le nostre foto, creiamo l'HDR con Cinepaint.
Andiamo su "File" -> "New From" -> "Bracketing to HDR" e carichiamo contemporaneamente le 3 foto.

Premete il tasto HDR che vedete nel riquadro in basso a sinistra, verrà generata l'immagine HDR dalla somma delle 3 foto. Non preoccupatevi se la vedete scuro o chiara, la elaboreremo più tardi. Ora salvate in formato .HDR e chiudete.

Aprite Qtpfsgui, andate su "Apri un HDR" e caricate l'immagine appena creata con Cinepaint.
In "Mapping" scegliete la gamma che più vi piace e poi cliccate su "Tonemappa L'HDR".
Vi si aprirà una nuova finestra dove avrete la possibilità di scegliere alcuni filtri e relative impostazioni per "tonemappare" la foto. Per la mia prova ho lasciato "pregamma" impostato su 1 e come filtro ho usato il primo: "Mantiuk" con un valore di saturazione di 1.378 e spuntato la casella contrasto equalizzato.

In alto trovate un menù a tendina per scegliere la risoluzione che volete dare alla foto finale, vi consiglio di fare alcune prove a formati più piccoli e quando avete ottenuto ciò che desiderate allora impostate una risoluzione maggiore. Sistemate i livelli salvate e se volete sistemate gli ultimi ritocchi con Gimp.

Questo è il mio risultato finale:

Spero vi piaccia! :D

p.s. il passaggio con Cinepaint può essere saltato in tronco perchè Qtpfsgui gestisce l'importazione di file RAW e crea l'HDR. Ho preferito usare Cinepaint con il plugin DCRAW perchè il risultato finale è stato decisamente migliore, solo il rumore di fondo si è ridotto drasticamente.

LGM is a meeting of the minds. It's a place where creative people enable each other's creativity. Writers of creativity software extend the toolbox of artists, who in turn stimulate them with ideas for newer features. Together, they leverage the newest and coolest hardware and push the envelope, and they coordinate for their tools to interoperate.

As an example, what is an upgrade to the latest generation of dSLR worth to a VR photographer? Take the Pentax K20D. It can be fitted with an amazing 10-17mm fisheye zoom lens and it has a 5 steps / 8EV bracketing range. Get those images on your desktop, align them with hugin, fuse them with enfuse or tonemap them with qtpfsgui. Revolutionary results with an ease of use that a few months ago was either just a dream or a lot of heavy lifting.

[EDIT: the panorama at the above link was shot last summer for the World Wide Panorama, before all of this technology became available. It was heavy lifting indeed.]

With old software, an hardware upgrade to the K20D or its Samsung equivalent GX-20 (which has a better user interface according to a dpreview brief hands on is of marginal interest, but with the software produced and distributed freely by the people who meet at LGM, the upgrade becomes a serious temptation.

So, if you are, like me, a digital photo user, you should care. This is a great time for us. Gone are the day of blown out windows. Gone are the days of painful manual exposure blending. My camera is now by default in bracketing mode, and so should be yours.

And if you work for a digital photo manufacturer, you should care too. If I bracket, I use 3x, no, 5x more flash memory and hard disk space. And to enjoy these new possibilities I need to upgrade my equipment more frequently.

I participated to LGM 2007. It was a unique opportunity for me to thank personally the developers of the software I use every day, and to talk with them about the features that I am still missing. Louis Desjardins did a great job at organizing LGM 2007, with a list of top notch sponsors. The list for 2008 is still too short, even if features some reputable names.

What shocks me, is that as of today, March 13, 2008, there is no sponsor from one of the industries set to benefit most from this conference. Where are you, digital imaging heavyweights? This is peanuts compared to your typical marketing budget!

If you read this post and have a contact inside a digital imaging company, we're very interested to get in touch with you.

Ecco, allora, che descrivo in breve il workflow che ho seguito (giusto per non dimenticarlo).

Ingredienti:

1. Canon EOS 350D (che in verità è di mio fratello);
2. qtpfsgui, un programma aperto multipiattaforma.

Procedimento:

1. Scatto 3 foto RAW a 3 diverse esposizioni, mantenendo fissi il fuoco e l'apertura del diaframma. Con la mia fotocamera posso usare anche l'opzione di AEB (esposizione automatica a forcella), facendo uso dell'autoscatto per non correre il rischio di muovere accidentalmente la macchina.
2. Carico le immagini in qtpfsgui e costruisco un'immagine HDR con estensione OpenEXR o TIFF.
3. Eseguo il tone mapping con gli algoritmi e i parametri che più mi piacciono, variando dagli effetti realistici a quelli surreali o a quelli "effetto cartone animato".
4. Salvo uno o più file in un formato LDR, tipo JPG o PNG.
5. Eventualmente fondo insieme due foto per ottenere altri effetti.

Penso che se studiata un po', la tecnica HDR possa essere usata per fare lavori originali, o per riportare a vita nuova fotografie non proprio bellissime...

Qui potete vedere uno dei miei primi esempi.

HDR Bilder haben einen viel höheren Kontrast als normale Bilder. Der Kontrast liegt bei chemische Photographie bei 10.000:1, bei Digitalphotographie nur bei 1000:1 und bei einem HDR Bild bei ca. 200.000:1. Viele Bereiche von Digitalaufnahmen sind oft über- bzw. unterbelichtet sind. Diese Über- und Unterbelichtung wird bei HDR Aufnahmen reduziert, so dass viel mehr Details sowohl in den dunklen als auch den hellen Bereichen eines Bildes zu erkennen sind. Erreicht wird das mehrere unterschiedlich belichtete Aufnahmen vom selben Motiv. Eine Software setzt das HDR Bild aus diesen Aufnahmen zusammen und wählt für jeden Bereich immer die optimale Belichtung aus.

Ich habe die Aufnahme oben mit dem Programm qtpfsgui unter Linux erstellt.

qtpfsgui ist Open Source und läuft unter Linux, Mac OS X und Windows. Die Bedienung ist einfach, sonst hätte ich damit kein HDR erstellen können: Zuerst wählt man Bilder aus, aus denen das HDR erstellt werden soll. In meinem Fall 3 Aufnahmen aus meiner Canon PowerShot 520 mit der Blende F5.6 und den Belichtungen 1/5s, 1/3s und 1s. Zu sehen sind Bürogebäude der Oberbaum City in Berlin Friedrichshain.
Im nächsten Schritt kann man die Bilder relativ zueinander verschieben, damit sie genau übereinander liegen. Trotz Stativ kann es zu mehreren Pixeln Abweichung kommen. Danach wird das HDR erstellt. qtpfsgui speichert HDRs in den Formaten OpenEXR, RadianceRGBE, HDR TIFF und PFS Stream.
Zum Export eines JPEGs muss man aus dem HDR durch Tone Mapping wieder in ein "normales" Bild umwandeln. Dafür bietet qtpfsgui viele Algorithmen die zu ganz unterschiedlichen Effekten führen, einige davon sind hier beschrieben. Die Anleitung für qtpfsgui findet sich hier. Viel mehr Bilder, die mit qtpfsgui erstellt wurden finden sich in einer qtpfsgui Flickr Gruppe.

HDR Bilder haben einen viel höheren Kontrast als normale Bilder. Der Kontrast liegt bei chemische Photographie bei 10.000:1, bei Digitalphotographie nur bei 1000:1 und bei einem HDR Bild bei ca. 200.000:1. Viele Bereiche von Digitalaufnahmen sind oft über- bzw. unterbelichtet sind. Diese Über- und Unterbelichtung wird bei HDR Aufnahmen reduziert, so dass viel mehr Details sowohl in den dunklen als auch den hellen Bereichen eines Bildes zu erkennen sind. Erreicht wird das mehrere unterschiedlich belichtete Aufnahmen vom selben Motiv. Eine Software setzt das HDR Bild aus diesen Aufnahmen zusammen und wählt für jeden Bereich immer die optimale Belichtung aus.

Ich habe die Aufnahme oben mit dem Programm qtpfsgui unter Linux erstellt.

qtpfsgui ist Open Source und läuft unter Linux, Mac OS X und Windows. Die Bedienung ist einfach, sonst hätte ich damit kein HDR erstellen können: Zuerst wählt man Bilder aus, aus denen das HDR erstellt werden soll. In meinem Fall 3 Aufnahmen aus meiner Canon PowerShot 520 mit der Blende F5.6 und den Belichtungen 1/5s, 1/3s und 1s. Zu sehen sind Bürogebäude der Oberbaum City in Berlin Friedrichshain.
Im nächsten Schritt kann man die Bilder relativ zueinander verschieben, damit sie genau übereinander liegen. Trotz Stativ kann es zu mehreren Pixeln Abweichung kommen. Danach wird das HDR erstellt. qtpfsgui speichert HDRs in den Formaten OpenEXR, RadianceRGBE, HDR TIFF und PFS Stream.
Zum Export eines JPEGs muss man aus dem HDR durch Tone Mapping wieder in ein "normales" Bild umwandeln. Dafür bietet qtpfsgui viele Algorithmen die zu ganz unterschiedlichen Effekten führen, einige davon sind hier beschrieben. Die Anleitung für qtpfsgui findet sich hier. Viel mehr Bilder, die mit qtpfsgui erstellt wurden finden sich in einer qtpfsgui Flickr Gruppe.