Synthesizing Natural Images Using Spatial Layout Information

Shao, Ling and Gao, Ruoyun (2010) Synthesizing Natural Images Using Spatial Layout Information. In: High-Quality Visual Experience. Signals and Communication Technology, III . Springer, London, pp. 297-308. ISBN 9783642128011

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Official URL: http://dx.doi.org/10.1007/978-3-642-12802-8_12

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.

Item Type: Book Section
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Paul Burns
Date Deposited: 15 Jun 2015 13:43
Last Modified: 10 Nov 2016 12:40
URI: http://nrl.northumbria.ac.uk/id/eprint/22908

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