Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Introduction to data compression (2nd ed.)
Introduction to data compression (2nd ed.)
Gradient domain high dynamic range compression
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Fast bilateral filtering for the display of high-dynamic-range images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Noise reduction in high dynamic range imaging
Journal of Visual Communication and Image Representation
PG '07 Proceedings of the 15th Pacific Conference on Computer Graphics and Applications
Automatic High-Dynamic Range Image Generation for Dynamic Scenes
IEEE Computer Graphics and Applications
The Frankencamera: an experimental platform for computational photography
ACM SIGGRAPH 2010 papers
Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data
IEEE Transactions on Image Processing
Minimal-Bracketing Sets for High-Dynamic-Range Image Capture
IEEE Transactions on Image Processing
Generalized Random Walks for Fusion of Multi-Exposure Images
IEEE Transactions on Image Processing
Automatic noise modeling for ghost-free HDR reconstruction
ACM Transactions on Graphics (TOG)
WYSIWYG computational photography via viewfinder editing
ACM Transactions on Graphics (TOG)
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When creating a High-Dynamic-Range (HDR) image from a sequence of differently exposed Low-Dynamic-Range (LDR) images, the set of LDR images is usually generated by sampling the space of exposure times with a geometric progression and without explicitly accounting for the distribution of irradiance values of the scene. We argue that this choice can produce sub-optimal results both in terms of the number of acquired pictures and the quality of the resulting HDR image. This paper presents a method to estimate the full irradiance histogram of a scene, and a strategy to select the set of exposures that need to be acquired. Our selection usually requires a smaller or equal set of LDRs, yet produces higher quality HDR images. © 2012 Wiley Periodicals, Inc.