Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
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
Photographic tone reproduction for digital images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
What Can Be Known about the Radiometric Response from Images?
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
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
High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)
Automatic Panoramic Image Stitching using Invariant Features
International Journal of Computer Vision
Robust Radiometric Calibration and Vignetting Correction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic High-Dynamic Range Image Generation for Dynamic Scenes
IEEE Computer Graphics and Applications
Blind de-ghosting for automatic multi-exposure compositing
ACM SIGGRAPH ASIA 2009 Posters
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
Robust patch-based hdr reconstruction of dynamic scenes
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Automatic noise modeling for ghost-free HDR reconstruction
ACM Transactions on Graphics (TOG)
Hi-index | 0.00 |
Most high dynamic range image (HDRI) algorithms assume stationary scene for registering multiple images which are taken under different exposure settings. In practice, however, there can be some global or local movements between images caused by either camera or object motions. This situation usually causes ghost artifacts which make the same object appear multiple times in the resultant HDRI. To solve this problem, most conventional algorithms conduct ghost detection procedures followed by ghost region filling with the estimated radiance values. However, usually these methods largely depend on the accuracy of the ghost detection results, and thus often suffer from color artifacts around the ghost regions. In this paper, we propose a new robust ghost-free HDRI generation algorithm that does not require accurate ghost detection and not suffer from the color artifact problem. To deal with the ghost problem, our algorithm utilizes the global intensity transfer functions obtained from joint probability density functions (pdfs) between different exposure images. Then, to estimate reliable radiance values, we employ a generalized weighted filtering technique using the global intensity transfer functions. Experimental results show that our method produces the state-of-the-art performance in generating ghost-free HDR images.