Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Gradient domain high dynamic range compression
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Adaptive gain control for high dynamic range image display
SCCG '02 Proceedings of the 18th spring conference on Computer graphics
A Visibility Matching Tone Reproduction Operator for High Dynamic Range Scenes
IEEE Transactions on Visualization and Computer Graphics
Comparametric equations with practical applications in quantigraphic image processing
IEEE Transactions on Image Processing
Automatic photometric restoration of historical photographic negatives
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
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In high dynamic range (HDR) imaging, multiple photographs with different exposure times are combined into a radiance map, which reflects the radiance in real-life scenes. This involves recovering the response function of the imaging process. The technique proposed by Debevec and Malik is a well-known HDR image synthesis algorithm, but the computational complexity is relatively high, which limits the possible image size and the reconstruction quality. In this paper we present an improved joint optimization technique for estimating the camera response function (CRF) and the radiance map and a new sequential two-step optimization technique, which first estimates the CRF and then reconstructs the radiance map, resulting in better visual results and a higher SNR in remarkably less computation time.