@inbook{dca3899dff614fb9ab90303ae6c502ed,
title = "Synthesizing Natural Images Using Spatial Layout Information",
abstract = "We propose an algorithm for synthesizing natural images consisting of composite textures in this chapter. Existing texture synthesis techniques usually fail to preserve the structural layout of the input image. To overcome this drawback, a target image which contains the layout information of the input is used to control the synthesis process. With the guidance of this target image, the synthesized output resembles the input globally and is composed of the original textures. For images composed of textured background and a non-textured foreground object, segmentation is first applied on the main object and texture synthesis is used on the background texture. In comparison to other synthesis methods, the proposed solution yields significantly better results for natural images.",
author = "Ling Shao and Ruoyun Gao",
year = "2010",
doi = "10.1007/978-3-642-12802-8_12",
language = "English",
isbn = "9783642128011",
volume = "III",
series = "Signals and Communication Technology",
publisher = "Springer",
pages = "297--308",
editor = "Marta Mrak and Mislav Grgic and Murat Kunt",
booktitle = "High-Quality Visual Experience",
address = "Germany",
}