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What does "Dynamic Range" mean?

The dynamic range of an image is the ratio of the darkest pixel value to the brightest pixel value. The technical quality of an image is also determined by the number of values that can be defined in between these two extremities.

Photographers usually don't define the dynamic range as a ratio, but prefer the use of exposure values (EV). An exposure value defines the amount of light falling on the image sensor, depending on the camera's aperture and exposure time settings. This is a logarithmic value. Doubling the amout of light will increase the EV by one. A dynamic value of 1:400 corresponds to about 12 EV.

Some rough estimates of dynamic ranges:

Paper print, matte5 - 6 EV
Paper print, glossy7 - 8 EV
Colour negative film8 - 10 EV
Slide film6 - 9 EV
Digital image sensor7 - 11 EV
LCD screen10 - 18 EV
Daylight, sunshine15 EV
Human eye, immidiately visible10 EV
Human eye, after adaptation20 EV
HDR, definition> 10 EV

Image Storage Formats

Brightness values of images are usually stored as integer values.


Black/White1 bit per pixel
Greyscale8 bits per pixel
Palettes1 ... 8 bits per pixel, plus color table
RGB 5/65 oder 6 bits per color channel, 16 bits per pixel
RGB 88 bits per color channel, thus 24 bits per pixel
RGBA 88 bits per color channel + alpha, thus 32 bits per pixel
RGB 1616 bits per color channel, thus 48 bits per pixel

Today, the most commonly used format for photographs is RGB 8.

Values are to be interpreted as logarithmic. They can be transformed to physical values by applying a so-called gamma transformation.

Unlike the formats above, HDR uses floating point numbers for storage. This allows a large increase in dynamic range plus a finer gradation of values. If applied in a smart way, this won't require much more space.

HDR image formats are generic and don't depend on camera manufacturers - unlike raw file formats.

In the long run, HDR could replace 16-bit integer formats in professional imaging!

Creating HDR Images

To a certain extent, HDR images can be created from camera raw files. For high-end cameras, there's a trend to develop image sensors with higher dynamic ranges.

For real high dynamic range, images can be created by blending several single images with different exposure settings using special software (exposure blending).

What is HDR good for?

Even in future times, HDR images will not always be displayed directly, like on HDR enabled monitor screens or HDR enabled viewers (see below).

But if you regard such images as raw material, there are some very interesting fields of application:

  • Creation of so-called environment maps - spherical or cubic panorama images which are used as background images for 3D rendering, like in film productions, advertising graphics, or computer games.
  • Creation of artistic images containing areas of very different brightness. This requires the use of tonemapping tools.


Panorado 5.0 is one of the first (or even the first) multi-purpose viewer and image browser application which support HDR images, including HDR panoramas. The generic functions are complemented by some HDR specific ones:

  • Manual adjustment of display brightness
  • Automatic adjustment of display brightness, according to the average brightness of the image portion currently displayed. After moving the image, the brightness is adjusted smoothly, like the human eye adapts to changes in brightness
  • Manual adjustment of display contrast
  • Alpha channel support
  • HDR histogram
  • Tracking pixel colors as floating-point values

Panorado supports Radiance HDR und OpenEXR, which currently are the most important HDR file formats.

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