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Texture Quality Extensions to Image Quilting

Texture Quality Extensions to Image Quilting. Nick Vavra. Texture Synthesis. Input: small sample texture image Goal: more of that texture Idea: Model the process that generates the texture Take random samples from the model Use samples to build the output image

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Texture Quality Extensions to Image Quilting

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  1. Texture Quality Extensions to Image Quilting Nick Vavra

  2. Texture Synthesis • Input: small sample texture image • Goal: more of that texture • Idea: • Model the process that generates the texture • Take random samples from the model • Use samples to build the output image • Uses: make larger texture images, hole filling, compression

  3. Image Quilting • Put patches into output image with overlap • Input texture is a Marchov Random Field • Determine a point by looking at neighbors • Sample patches directly from input image • Find matches for the overlap region (SSD) • Choose a matching patch randomly • Insert patch into the image • Lather, rinse, repeat in raster scan order

  4. Stitching • Blending works, but not great • Instead find a good boundary • Use the min error path through the overlap

  5. Image Quilting Results

  6. These need a little help

  7. Extensions • Output quality usually very good • Sometimes get patch boundary artifacts • Proposed extensions • Backtrack if no good match is found • Match based on SSD and min path quality • Extensions still under development

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