Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Generalized Mosaicing: Wide Field of View Multispectral Imaging
IEEE Transactions on Pattern Analysis and Machine Intelligence
All-frequency shadows using non-linear wavelet lighting approximation
ACM SIGGRAPH 2003 Papers
Colorization using optimization
ACM SIGGRAPH 2004 Papers
Interactive local adjustment of tonal values
ACM SIGGRAPH 2006 Papers
AppWand: editing measured materials using appearance-driven optimization
ACM SIGGRAPH 2007 papers
AppProp: all-pairs appearance-space edit propagation
ACM SIGGRAPH 2008 papers
Compressive light transport sensing
ACM Transactions on Graphics (TOG)
Kernel Nyström method for light transport
ACM SIGGRAPH 2009 papers
Efficient affinity-based edit propagation using K-D tree
ACM SIGGRAPH Asia 2009 papers
Diffusion maps for edge-aware image editing
ACM SIGGRAPH Asia 2010 papers
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Multispectral images record detailed color spectra at each image pixel. To display a multispectral image on conventional output devices, a chromaticity mapping function is needed to map the spectral vector of each pixel to the displayable three dimensional color space. In this paper, we present an interactive method for locally adjusting the chromaticity mapping of a multispectral image. The user specifies edits to the chromaticity mapping via a sparse set of strokes at selected image locations and wavelengths, then our method automatically propagates the edits to the rest of the multispectral image. The key idea of our approach is to factorize the multispectral image into a component that indicates spatial coherence between different pixels, and one that describes spectral coherence between different wavelengths. Based on this factorized representation, a two-step algorithm is developed to efficiently propagate the edits in the spatial and spectral domains separately. The method presented provides photographers with efficient control over color appearance and scene details in a manner not possible with conventional color image editing. We demonstrate the use of interactive chromaticity mapping in the applications of color stylization to emulate the appearance of photographic films, enhancement of image details, and manipulation of different light transport effects.