The nature of statistical learning theory
The nature of statistical learning theory
Unconstrained Automatic Image Matching Using Multiresolutional Critical-Point Filters
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
IEEE Computer Graphics and Applications
Cluster merging and splitting in hierarchical clustering algorithms
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
ACM SIGGRAPH 2003 Papers
Example-Based Color Stylization of Images
ACM Transactions on Applied Perception (TAP)
ACM SIGGRAPH 2006 Papers
Two-scale tone management for photographic look
ACM SIGGRAPH 2006 Papers
Interactive local adjustment of tonal values
ACM SIGGRAPH 2006 Papers
Automatic image enhancement by content dependent exposure correction
EURASIP Journal on Applied Signal Processing
Fourier Analysis of the 2D Screened Poisson Equation for Gradient Domain Problems
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Data-driven image color theme enhancement
ACM SIGGRAPH Asia 2010 papers
A multiscale retinex for bridging the gap between color images and the human observation of scenes
IEEE Transactions on Image Processing
Hierarchical Color Correction for Camera Cell Phone Images
IEEE Transactions on Image Processing
Fast adaptive edge-aware mask generation
Proceedings of Graphics Interface 2012
Joint statistical analysis of images and keywords with applications in semantic image enhancement
Proceedings of the 20th ACM international conference on Multimedia
Color transfer based on multiscale gradient-aware decomposition and color distribution mapping
Proceedings of the 20th ACM international conference on Multimedia
Variational and PCA based natural image segmentation
Pattern Recognition
Example-based video color grading
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Affective image adjustment with a single word
The Visual Computer: International Journal of Computer Graphics
A framework for interactive image color editing
The Visual Computer: International Journal of Computer Graphics
Computational simulation of alternative photographic processes
EGSR '13 Proceedings of the Eurographics Symposium on Rendering
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Color and tone adjustments are among the most frequent image enhancement operations. We define a color and tone style as a set of explicit or implicit rules governing color and tone adjustments. Our goal in this paper is to learn implicit color and tone adjustment rules from examples. That is, given a set of examples, each of which is a pair of corresponding images before and after adjustments, we would like to discover the underlying mathematical relationships optimally connecting the color and tone of corresponding pixels in all image pairs. We formally define tone and color adjustment rules as mappings, and propose to approximate complicated spatially varying nonlinear mappings in a piecewise manner. The reason behind this is that a very complicated mapping can still be locally approximated with a low-order polynomial model. Parameters within such low-order models are trained using data extracted from example image pairs. We successfully apply our framework in two scenarios, low-quality photo enhancement by transferring the style of a high-end camera, and photo enhancement using styles learned from photographers and designers.