High Dynamic Range Imaging - Comparison With Traditional Digital Images

Comparison With Traditional Digital Images

Information stored in high-dynamic-range images typically corresponds to the physical values of luminance or radiance that can be observed in the real world. This is different from traditional digital images, which represent colors that should appear on a monitor or a paper print. Therefore, HDR image formats are often called scene-referred, in contrast to traditional digital images, which are device-referred or output-referred. Furthermore, traditional images are usually encoded for the human visual system (maximizing the visual information stored in the fixed number of bits), which is usually called gamma encoding or gamma correction. The values stored for HDR images are often gamma compressed (power law) or logarithmically encoded, or floating-point linear values, since fixed-point linear encodings are increasingly inefficient over higher dynamic ranges.

HDR images often do not use fixed ranges per color channel - other than traditional images - in order to represent many more colors over a much wider dynamic range. For that purpose, they do not user integer values to represent the single color channels (e.g. 0..255 in an 8 bit per pixel interval for red, green and blue) but a floating point representation. Common are 16-bit (half precision) or 32-bit floating point numbers to represent HDR pixels. However, when the appropriate transfer function is used, HDR pixels for some applications can be represented with as few as 10–12 bits for luminance and 8 bits for chrominance without introducing any visible quantization artifacts.

Read more about this topic:  High Dynamic Range Imaging

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