EGWR: Eurographics Workshop on Rendering
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Browsing EGWR: Eurographics Workshop on Rendering by Subject "Categories and Subject Descriptors (according to ACM CCS): 1.4.9 [Image Processing and Computer Vision]: Applications"
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Item Colorization by Example(The Eurographics Association, 2005) Irony, Revital; Cohen-Or, Daniel; Lischinski, Dani; Kavita Bala and Philip DutreWe present a new method for colorizing grayscale images by transferring color from a segmented example image. Rather than relying on a series of independent pixel-level decisions, we develop a new strategy that attempts to account for the higher-level context of each pixel. The colorizations generated by our approach exhibit a much higher degree of spatial consistency, compared to previous automatic color transfer methods [WAM02]. We also demonstrate that our method requires considerably less manual effort than previous user-assisted colorization methods [LLW04]. Given a grayscale image to colorize, we first determine for each pixel which example segment it should learn its color from. This is done automatically using a robust supervised classification scheme that analyzes the low-level feature space defined by small neighborhoods of pixels in the example image. Next, each pixel is assigned a color from the appropriate region using a neighborhood matching metric, combined with spatial filtering for improved spatial coherence. Each color assignment is associated with a confidence value, and pixels with a sufficiently high confidence level are provided as micro-scribbles to the optimization-based colorization algorithm of Levin et al. [LLW04], which produces the final complete colorization of the image.