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Transferring Color to Greyscale Images Tomihisa Welsh, Michael Ashikhmin, Klaus Mueller. Presented by Steven Scher sscher@ucsc.edu. Colorizing a ‘Target’ Greyscale Image by analogy to a ‘Source’ Color/Grey Image pair. Target. To Colorize This Greyscale Image …. Source.
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Transferring Color to Greyscale ImagesTomihisa Welsh, Michael Ashikhmin, Klaus Mueller Presented by Steven Scher sscher@ucsc.edu
Colorizing a ‘Target’ Greyscale Imageby analogy to a ‘Source’ Color/Grey Image pair Target To Colorize This Greyscale Image … Source Use a known Greyscale/Color Image Pair
For each pixel in Target Image, Find Matching Pixel in Greyscale Source Image Find a pixel in the Greyscale Source Image with a similar: (1) brightness (2) Standard Deviation of Neighborhood Brightnesses Measure Similarity with Euclidian Distance Speed-Up: Instead of Searching Entire Source Image (millions of pixels), only search a Randomly-Chosen Subset of ~200 pixels. Jittered Sampling: (1) Divide Image into a grid (2) Randomly (Uniformly) choose one pixel from each grid
Give same color to Greyscale Target pixel as Best-Matched Source Image Pixel If this Greyscale Target Pixel is matched by this Greyscale Source Pixel … Then choose the color of the same pixel in the Color Source Image
Difficult Cases – Use Swatches • Colorize Swatches • Manually Defined Matching Regions Target Source (2) Result is New Source Pair Different Similarity Metric now used: Sum over neighborhood of pixel-by-pixel differences
Movies • One Source Image Pair can be used to colorize an entire movie • Swatches on one video frame can be used to create the Source Image Pair
Links Author’s website http://www.cs.sunysb.edu/~tfwelsh/colorize/ This Paper is at http://www.cs.sunysb.edu/~tfwelsh/colorize/colorize-sig02.pdf Image Analogies Paper (framework for this type of algorithm) http://mrl.nyu.edu/projects/image-analogies/
Faces Michael Ashikhmin Klaus Mueller Tomihisa Welsh ?