Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gradient domain high dynamic range compression
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Extending Dynamic Range of Monochrome and Color Images through Fusion
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
ACM SIGGRAPH 2003 Papers
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)
Automatic Estimation and Removal of Noise from a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Background estimation from non-time sequence images
GI '08 Proceedings of graphics interface 2008
Automatic High-Dynamic Range Image Generation for Dynamic Scenes
IEEE Computer Graphics and Applications
Histogram based ghost removal in high dynamic range images
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Superpixels and supervoxels in an energy optimization framework
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Bottom-up segmentation for ghost-free reconstruction of a dynamic scene from multi-exposure images
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Bitmap Movement Detection: HDR for Dynamic Scenes
CVMP '10 Proceedings of the 2010 Conference on Visual Media Production
A versatile HDR video production system
ACM SIGGRAPH 2011 papers
Ghost-free high dynamic range imaging
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Dynamic scenes HDRI acquisition
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
Ghost detection and removal for high dynamic range images: Recent advances
Image Communication
Fast high dynamic range image deghosting for arbitrary scene motion
Proceedings of Graphics Interface 2012
Computer Graphics Forum
Robust patch-based hdr reconstruction of dynamic scenes
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Exposure stacks of live scenes with hand-held cameras
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
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High dynamic range reconstruction of dynamic scenes requires careful handling of dynamic objects to prevent ghosting. However, in a recent review, Srikantha et al. [2012] conclude that "there is no single best method and the selection of an approach depends on the user's goal". We attempt to solve this problem with a novel approach that models the noise distribution of color values. We estimate the likelihood that a pair of colors in different images are observations of the same irradiance, and we use a Markov random field prior to reconstruct irradiance from pixels that are likely to correspond to the same static scene object. Dynamic content is handled by selecting a single low dynamic range source image and hand-held capture is supported through homography-based image alignment. Our noise-based reconstruction method achieves better ghost detection and removal than state-of-the-art methods for cluttered scenes with large object displacements. As such, our method is broadly applicable and helps move the field towards a single method for dynamic scene HDR reconstruction.