Synthesizing Natural Images Using Spatial Layout Information

Ling Shao, Ruoyun Gao

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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.
Original languageEnglish
Title of host publicationHigh-Quality Visual Experience
EditorsMarta Mrak, Mislav Grgic, Murat Kunt
Place of PublicationLondon
PublisherSpringer
Pages297-308
Number of pages550
VolumeIII
ISBN (Print)9783642128011
DOIs
Publication statusPublished - 2010

Publication series

NameSignals and Communication Technology
PublisherSpringer
ISSN (Electronic)1860-4862

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