High Dynamic Range Picture

Dec
30

High Dynamic Range Picture

High Dynamic Range Imaging (HDRI or just HDR) is a set of techniques that allow a greater dynamic range of luminances between the lightest and darkest areas of an image than standard digital imaging techniques or photographic methods. This wider dynamic range allows HDR images to more accurately represent the wide range of intensity levels found in real scenes, ranging from direct sunlight to faint starlight.

The two main sources of HDR imagery are computer renderings and merging of multiple photographs, which in turn are known as low dynamic range (LDR) or standard dynamic range (SDR) images. Tone mapping techniques, which reduce overall contrast to facilitate display of HDR images on devices with lower dynamic range, can be applied to produce images with preserved or exaggerated local contrast for artistic effect.

History of HDR Photography

1930

High dynamic range imaging was originally developed in the 1930s and 1940s by Charles Wyckoff. Wyckoff’s detailed pictures of nuclear explosions appeared on the cover of Life magazine in the mid 1940s. Wyckoff implemented local neighborhood tone remapping to combine differently exposed film layers into one single image of greater dynamic range.

1850

The idea of using several exposures to fix a too-extreme range of luminance was pioneered as early as the 1850s by Gustave Le Gray to render seascapes showing both the sky and the sea. Such rendering was impossible at the time using standard techniques, the luminosity range being too extreme. Le Gray used one negative for the sky, and another one with a longer exposure for the sea, and combined the two in a single picture in positive.

1980

The desirability of HDR has been recognized for decades, but its wider usage was, until quite recently, precluded by the limitations imposed by the available computer processing power. Probably the first practical application of HDRI was by the movie industry in late 1980s and, in 1985, Gregory Ward created the Radiance RGBE image file format which was the first (and still the most commonly used) HDR imaging file format.

Wyckoff’s concept of neighborhood tone mapping was applied to video cameras by a group from the Technion in Israel led by Prof. Y.Y.Zeevi who filed for a patent on this concept in 1988. In 1993 the first commercial medical camera was introduced that performed real time capturing of multiple images with different exposures, and producing an HDR video image.[

Modern HDR imaging uses a completely different approach, based on making a high-dynamic range luminance or light map using only global image operations (across the entire image), and then tone mapping this result. Global HDR was first introduced in 1993 resulting in a mathematical theory of differently exposed pictures of the same subject matter that was published in 1995 by Steve Mann and Rosalind Picard. In 1997 this global-HDR technique of combining several differently exposed images to produce a single HDR image was presented to the computer graphics community by Paul Debevec.

This method was developed to produce a high dynamic range image from a set of photographs taken with a range of exposures. With the rising popularity of digital cameras and easy-to-use desktop software, the term HDR is now popularly used to refer to this process. This composite technique is different from (and may be of lesser or greater quality than) the production of an image from a single exposure of a sensor that has a native high dynamic range. Tone mapping is also used to display HDR images on devices with a low native dynamic range, such as a computer screen.

1996

Steve Mann developed and patented the global-HDR method for producing digital images having extended dynamic range at the MIT Media Laboratory. Mann's method involved a two-step procedure: (1) generate a single floating point image array by global-only image operations (operations that affect all pixels identically, without regard to their local neighborhoods); and then (2) convert this image array, using local neighborhood processing (tone-remapping, etc.), into an HDR image. The image array generated by the first step of Mann's process is called a "lightspace image", "lightspace picture", or "radiance map". Another benefit of global-HDR imaging is that it provides access to the intermediate light or radiance map, which has been used for computer vision, and other image processing operations.

1997

In 1997 this technique of combining several differently exposed images to produce a single HDR image was presented to the public by Paul Debevec.

2005

Photoshop CS2 introduced the Merge to HDR function.

How to make HDR picture with DSLR camera

  1. Bracketing
    Setup your camera to bracket 3 or more images. Try using the setting EV "+/-" 1 or 2
  2. White Balance
    Set your white balance to whatever the scene requires. Do not use auto.
  3. Mount the camera on a tripod.
    Having a stable base for your camera is very important and means less alignment issues in post productions. While hand-held HDR is very possible, and many people create very successful images with this technique, having a sturdy tripod will give you the greatest chance at nailing that landscape shot.
  4. Cable Release
    Attach the Cable release, or set the camera to use the self timer. You do not want to touch the camera at all.
  5. Switch the camera to aperture priority and make your aperture F8 This step is only to give you a direction in where to begin, let me add that some people prefer to actually shoot at smaller apertures, experiment, and adapt this step to your workflow.
  6. Meter the scene by half pressing the shutter release button, then remember what shutter speed number gets displayed.
  7. Switch to manual, and set your shutter speed to the number you just saw. Leave your aperture at F8.
  8. Shoot
    Now, just take your series of photographs! You have successfully just captured a set of even exposures that will merge into an HDR image

Here are some picture of HDR that i like! (taken from smashing magazine)

HDR picture
HDR picture
HDR picture
HDR picture
HDR picture
HDR picture
HDR picture
HDR picture
HDR picture
HDR picture

Stunning picture! :)

VN:F [1.9.3_1094]
Rating: 10.0/10 (2 votes cast)
VN:F [1.9.3_1094]
Rating: +2 (from 2 votes)
High Dynamic Range Picture, 10.0 out of 10 based on 2 ratings

Incoming search terms for the article:

  • http://www.youtube.com/watch?v=rZjOkzpwOKI Canvas Stretching Machine

    those are really great pictures…

    VA:F [1.9.3_1094]
    Rating: 0.0/5 (0 votes cast)
    VA:F [1.9.3_1094]
    Rating: 0 (from 0 votes)
blog comments powered by Disqus
  • Fresh Books
  • Graphic River
  • Theme Forest
  • Woo Themes


  • Archives

  • Tags

  • Categories

  • Random Article

  • Popular Article

  • Popular Search

  • Searched Today

  • Traffic