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REGULAR PAPER Perceptual image preview

By Liang Wan, Wei Feng, Zhouchen Lin, Tien-tsin Wong and Zhi-qiang Liu

Abstract

Abstract Image preview is a convenient way to browse large or multiple images on small displays. However, current signal-level image resampling algorithms may remove many features of interest in the preview image. In this paper, we propose perceptual image preview which retains more perceptual features such that users can inspect features of interest by viewing the preview image only and without zooming in. This technology has two components, structure enhancement and perceptual feature visualization. Structure enhancement enhances the image structure while suppressing subtle details using a gradient modulation method, thus making the succedent perceptual features more apparent. For perceptual feature visualization, features of interest detected in the picture is visualized on the structure enhanced preview image. We demonstrate with two examples of most commonly used image quality features, image blur and noise. The effectiveness of the proposed method is validated by experimental results

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.187.9043
Provided by: CiteSeerX
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