Target-preserving Content Aware Image Resizing

ASIAIR > College of Computer Science > Department of Computer Science and Information Engineering > Theses & dissertations > Item 310904400/12747

Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/12747

Title:	Target-preserving Content Aware Image Resizing
Authors:	Shi, Zhong-Yan
Contributors:	Department of Computer Science and Information Engineering Cheng-Hung Chuang
Keywords:	Distance transform;Visual saliency;Seam carving;Image resizing;Image retargeting;Interpolation
Date:	2012
Issue Date:	2012-11-18 09:00:57 (UTC+0)
Publisher:	Asia University
Abstract:	The study presents an automatic target-preserving content-aware image resizing method for displaying image with different aspect ratios. The method computes a saliency map which describes the attractive and unattractive regions in an image by the graph-based visual saliency model. Then a thresholding technique is applied to detect important target regions on the saliency map. In our method, three types of weighting algorithms are proposed to calculate the height of each row and the width of each column outside the important regions. These three types of algorithms are the average weighting, the graph-based visual saliency weighting, and the distance transform weighting algorithms. Next an interpolation technique is used to resize the image to its target size. Experimental results show that the proposed image resizing method is capable of preserving important target without deformation.Keywords：Image retargeting, Image resizing, Seam carving, Visual saliency, Distance transform, Interpolation
Appears in Collections:	[Department of Computer Science and Information Engineering] Theses & dissertations

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