A note on parametric image enhancement
Pattern Recognition
Interactive histogram equalization
Pattern Recognition Letters
Four algorithms for enhancing images with large peaks in their histogram
Image and Vision Computing
Generation of transfer functions with stochastic search techniques
Proceedings of the 7th conference on Visualization '96
Design galleries: a general approach to setting parameters for computer graphics and animation
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
A gray-level transformation-based method for image enhancement
Pattern Recognition Letters
Digital Image Processing
Interaction Design
Photographic tone reproduction for digital images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Entropy Optimized Contrast Stretch to Enhance Remote Sensing Imagery
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Interactive local adjustment of tonal values
ACM SIGGRAPH 2006 Papers
Contrast enhancement using brightness preserving bi-histogram equalization
IEEE Transactions on Consumer Electronics
Image enhancement based on equal area dualistic sub-image histogram equalization method
IEEE Transactions on Consumer Electronics
Image contrast enhancement based on the piecewise-linear approximation of CDF
IEEE Transactions on Consumer Electronics
IEEE Transactions on Consumer Electronics
Minimum mean brightness error bi-histogram equalization in contrast enhancement
IEEE Transactions on Consumer Electronics
Hue-preserving color image enhancement without gamut problem
IEEE Transactions on Image Processing
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We implement contrast brushes, an interactive method for directly brushing contrast adjustments onto an image. The adjustments are performed by a histogram warping approach that implements tone mapping using piecewisedefined, continuously differentiable, monotonic splines. This allows the independent specification of tone changes and contrast adjustments without causing halo or contouring artifacts, while still endowing contrast brushes with intelligible parameters that render their effects predictable for the user. A user study demonstrates that contrast brushes can prove more effective than Adobe Photoshop's interactive contrast enhancement tools.