| Paper: | IMDSP-P2.3 | ||
| Session: | Restoration | ||
| Time: | Tuesday, May 18, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Image and Video Coding | ||
| Title: | CONTENT BASED BLURRING CODING ARTIFACT REDUCTION USING PATCH-BASED TEXTURE SYNTHESIS | ||
| Authors: | Rajas Sambhare; University of Wisconsin-Madison | ||
| Yu-Hen Hu; University of Wisconsin-Madison | |||
| Abstract: | Blurring artifact occurs in low bit-rate image or video coding. It manifests itself as a blurred patch within a textured region. Previously, we proposed a constrained texture synthesis post-processing algorithm [8] to regenerate the texture the blurred patch using surrounding texture of the same kind. However, a human operator must manually identify the blurred target, and a valid source region from its surroundings. In this work, we present an effort to automate this process. Specifically, we developed an efficient modified k-means algorithm method to segment and identify potentially blurred patches; and a content-based region selection method to choose the candidate source region. Preliminary experiment results indicate that our algorithm produces results consistent with that produced by a human operator. | ||
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