Recovering high dynamic range radiance maps from photographs
University of California, Berkeley
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 the known response function, the algorithm can fuse the multiple photographs into a single, high dynamic range radiance map whose pixel values are proportional to the true radiance values in the scene. We demonstrate our method on images acquired with both photochemical and digital imaging processes. We discuss how…
Citation impact
- FWCI
- 164.71
- Percentile
- 100%
- References
- 27
Authors
2Topics & keywords
- Radiance
- Computer vision
- Computer science
- High dynamic range
- Artificial intelligence
- Computer graphics (images)
- Pixel
- Compositing