An Improved Texture Synthesis Algorithm Using Morphological Processing with Image Analogy

Jiang Ni and Henry Schneiderman
tech. report CMU-RI-TR-04-52, Robotics Institute, Carnegie Mellon University, October, 2004


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Abstract
Texture synthesis is an important technology for graphics and animation. This paper proposes a novel method based upon the multi-resolution neighborhood matching technique pioneered by Wei and Levoy. Wei and Levoy's simple but powerful method is effective at synthesizing a wide range of textures. However, it has a tendency to produce synthesis artifacts in textures containing distinctive structural elements with large degrees of irregularity, such as stones in a stone wall. We propose several improvements designed to overcome these artifacts: (1) Morphological operations to emphasize key aspects of structure such as edges followed by image analogy to undo the effects of morphology (2) Combining non-causal neighborhoods with causal neighborhoods (3) Appropriate weighting of the parent and current level in the multi-resolution pyramid. Experimental results demonstrate that these modifications improve the quality of synthesis for textures containing irregularly structured components.

Keywords
texture synthesis, image analogy, morphological processing

Notes
Number of pages: 15

Text Reference
Jiang Ni and Henry Schneiderman, "An Improved Texture Synthesis Algorithm Using Morphological Processing with Image Analogy," tech. report CMU-RI-TR-04-52, Robotics Institute, Carnegie Mellon University, October, 2004

BibTeX Reference
@techreport{Ni_2004_4784,
   author = "Jiang Ni and Henry Schneiderman",
   title = "An Improved Texture Synthesis Algorithm Using Morphological Processing with Image Analogy",
   booktitle = "",
   institution = "Robotics Institute",
   month = "October",
   year = "2004",
   number= "CMU-RI-TR-04-52",
   address= "Pittsburgh, PA",
}