Digital Image Processing
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
Tone Reproduction for Realistic Images
IEEE Computer Graphics and Applications
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Image fusion for context enhancement and video surrealism
Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering
Digital photography with flash and no-flash image pairs
ACM SIGGRAPH 2004 Papers
Flash photography enhancement via intrinsic relighting
ACM SIGGRAPH 2004 Papers
Compressing and companding high dynamic range images with subband architectures
ACM SIGGRAPH 2005 Papers
Video enhancement using per-pixel virtual exposures
ACM SIGGRAPH 2005 Papers
Two-scale tone management for photographic look
ACM SIGGRAPH 2006 Papers
Interactive local adjustment of tonal values
ACM SIGGRAPH 2006 Papers
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We present a new method for automatically adjusting the tonal values of underexposed digital images. We make the most of the dynamic range of digital images, and adjust the tonal values through dynamic range remapping, with a specifically defined tone mapping operator. The operator comprises two concatenate terms. The first one is a global operator that adjusts the tonal values of underexposed image with a linear scale transformation as well as a nonuniform intensity reduction function. The second one is a local operator used for noise suppression and detail enhancement. With such operator, tone values of underexposed images are faithfully adjusted. Meanwhile, noises are suppressed without introducing noticeable artifacts into resulting images. Our method runs with high efficiency. Experimental results demonstrate its effectiveness.