Artifact-free High Dynamic Range Imaging (ICCP '09)
O. Gallo, N. Gelfand, W. Chen, M. Tico, and K. Pulli.
[pdf, 14MB] [ reduced pdf, <1MB] [presentation] [image stacks, ~32MB] [bibtex]

standard HDR ghost-free HDR
Standard HDR.
Our result.
The full stack.

The contrast in real world scenes is often beyond what consumer cameras can capture. For these situations, High Dynamic Range (HDR) images can be generated by taking multiple exposures of the same scene. When fusing information from different images, however, the slightest change in the scene can generate, in the resulting image, artifacts which dramatically limit the potential of this solution. We present a technique capable of dealing with a large amount of movement in the scene: we find, in all the available exposures, patches consistent with a reference image previously selected from the stack. We generate the HDR image by averaging the radiance estimates of all such regions and we compensate for camera calibration errors by removing potential seams. We show that our method works even in cases with many moving objects covering large regions of the scene.

09-04-2009: The results shown in the paper, exactly as output by our algorithm, are now available for download here.
07-09-2009: The stacks used in the paper are now available for download here. Please, see the text file included in the zip for information about usage and licensing.


    title = {Artifact-free High Dynamic Range Imaging},
    author = {Gallo, O., and Gelfand, N., and Chen, W., and Tico, M., and Pulli, K.},
    journal = {IEEE International Conference on Computational Photography (ICCP)},
    year = {2009},
    month = {April}
last updated 09-04-2009