Image Retargeting by Texture-Aware Synthesis
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Image Retargeting by Texture-Aware Synthesis
Abstract— Image Retargeting by Texture-Aware Synthesis. Real-world images usually contain vivid contents and rich textural details, which will complicate the manipulation on them. We design a new framework based on exampled-based texture synthesis to enhance content-aware image retargeting. By detecting the textural regions in an image, the textural image content can be synthesized rather than simply distorted or cropped. This method enables the manipulation of textural & non-textural regions with different strategies since they have different natures. We propose to < Final Year Projects 2016 > the textural regions by example-based synthesis and non-textural regions by fast multi-operator. To achieve practical retargeting applications for general images, we develop an automatic and fast texture detection method that can detect multiple disjoint textural regions.
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