A Computational Darkroom for BW Photography Soonmin Bae, Sylvain Paris, and Frédo Durand Current Status : Resubmission to Siggraph

Objectives To enhance black-and-white photographs “Look” transfer between two images Direct interpolation and manipulation of the “look”

What can be the “Look”

Approaches Decomposition of an image into large-scale variation layer and high frequency texture layer Control the global contrast and the local textureness separately Quantitative characterization Use image statistics and histograms

To Do Control of the visual quality, “look” Parametric characterization User-oriented and intuitive method HDR images

Not To Do Deal with Change Content Select a model or ideal parameters Color photographs Paintings Change Content Change Composition Crop Select a model or ideal parameters

What they do vs. What we do Tone mapping Ferwerda et al. 1996;Tumblin and Rushmeier 1993; Ward 1994 Ashikhmin 2002; Tumblin and Turk 1999; Pattanaik et al. 1998; Reinhard et al. 2002 Color2gray Gooch et al. 2005 Image analogies Hertzmann et al. 2001; Efros and Freeman 2001; Rosales et al. 2003; Drori et al. 2003 Objective tone reproduction vs. Control of the look Non-parametric vs. Parametric characterization

Challenges Identification of important visual characteristics Meaningful feature selection Decomposition Faithful extraction of the features Reconstruction Halo artifact Subjective issues Preference vs. Similarity

Technical details - Separation Blah.. Blah..

Preliminary Results

Expected Demos Blah.. Blah..

Open Discussion Should we include the following domains? Color photographs Paintings Which should be pursued? Transfer vs. Direct parameter modification Similarity vs. Preference