A multiresolution spline with application to image mosaics
ACM Transactions on Graphics (TOG)
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
ACM SIGGRAPH 2003 Papers
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Determining the Camera Response from Images: What Is Knowable?
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital photography with flash and no-flash image pairs
ACM SIGGRAPH 2004 Papers
Flash photography enhancement via intrinsic relighting
ACM SIGGRAPH 2004 Papers
Removing photography artifacts using gradient projection and flash-exposure sampling
ACM SIGGRAPH 2005 Papers
Compressing and companding high dynamic range images with subband architectures
ACM SIGGRAPH 2005 Papers
Removing photography artifacts using gradient projection and flash-exposure sampling
ACM SIGGRAPH 2005 Papers
Seamless Image Stitching of Scenes with Large Motions and Exposure Differences
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
An adaptive algorithm for the display of high-dynamic range images
Journal of Visual Communication and Image Representation
Journal of Visual Communication and Image Representation
Automatic High-Dynamic Range Image Generation for Dynamic Scenes
IEEE Computer Graphics and Applications
Bitmap Movement Detection: HDR for Dynamic Scenes
CVMP '10 Proceedings of the 2010 Conference on Visual Media Production
A fast approximation of the bilateral filter using a signal processing approach
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Journal of Visual Communication and Image Representation
| Hi-index | 0.00 |
Unlike high dynamic range (HDR) imaging, exposure fusion is a process of generating a tonemapped-like HDR image directly by fusing a series of bracketed images. Since it frees users from the tedious radiometric calibration and tone mapping steps, this technique is getting more and more popular, and becomes a basic tool in many graphics software. The main drawback of exposure fusion is its limitation to static scenes and any object movement of the target scene will incur severe ghosting artifacts in the fused result. In this paper, we intend to overcome this limitation and make exposure fusion applicable in dynamic scenes. A new quality assessment system is developed, where both temporal consistency and spatial consistency are introduced to account for ghosting artifacts. Experimental results of various dynamic scenes are shown to prove the effectiveness of the proposed method.