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Recovering high dynamic range radiance maps from photographs

Citations:

2414

References:

25

Abstract
We present a method of recovering high dynamic range radiance maps from photographs taken with conventional imaging equipment. In our method, multiple photographs of the scene are taken with different amounts of exposure. Our algorithm uses these differently exposed photographs to recover the response function of the imaging process, up to factor of scale, using the assumption of reciprocity. With...
Keywords
Radiance
Computer vision
Computer science
High dynamic range
Artificial intelligence
Computer graphics (images)
Pixel
Compositing
Dynamic range
Computer graphics
Range (aeronautics)
Image (mathematics)
Remote sensing
Geography
Materials science
Composite material



Recovering high dynamic range radiance maps from photographs

Recovering high dynamic range radiance maps from photographs

Citations:

2414

References:

25

Abstract
We present a method of recovering high dynamic range radiance maps from photographs taken with conventional imaging equipment. In our method, multiple photographs of the scene are taken with different amounts of exposure. Our algorithm uses these differently exposed photographs to recover the response function of the imaging process, up to factor of scale, using the assumption of reciprocity. With...
Keywords
Radiance
Computer vision
Computer science
High dynamic range
Artificial intelligence
Computer graphics (images)
Pixel
Compositing
Dynamic range
Computer graphics
Range (aeronautics)
Image (mathematics)
Remote sensing
Geography
Materials science
Composite material