Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
LCIS: a boundary hierarchy for detail-preserving contrast reduction
Proceedings of the 26th 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
Fast bilateral filtering for the display of high-dynamic-range images
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
A Visibility Matching Tone Reproduction Operator for High Dynamic Range Scenes
IEEE Transactions on Visualization and Computer Graphics
Parameter estimation for photographic tone reproduction
Journal of Graphics Tools
The trilateral filter for high contrast images and meshes
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
Two-scale tone management for photographic look
ACM SIGGRAPH 2006 Papers
Evaluating HDR rendering algorithms
ACM Transactions on Applied Perception (TAP)
Deterministic edge-preserving regularization in computed imaging
IEEE Transactions on Image Processing
Nonlinear image recovery with half-quadratic regularization
IEEE Transactions on Image Processing
Patching of moving objects for ghosting-free HDR synthesis
ACM SIGGRAPH 2012 Posters
| Hi-index | 0.00 |
This paper presents a new adaptive tone mapping for high dynamic range (HDR) images. In the proposed scheme, the luminance of an HDR image is decomposed into a base layer with large gradients and a detail layer with small gradients by using an adaptive half quadratic regularization method. The base layer is compressed by a novel global mapping to reduce the dynamic range while the detail layer can be amplified to enhance the local contrasts. With the proposed scheme, the generated low dynamic range (LDR) images look more natural and local details are also preserved very well.