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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Efficient Large Image Browser for Embedded Systems
verfasst von : Yuanyuan Liu, Zhiwei He, Haibin Yu, Jinbiao Liu
Erschienen in: Artificial Intelligence and Computational Intelligence
Verlag: Springer Berlin Heidelberg
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Images obtained by digital cameras nowadays become larger and larger in size. The quality of the obtained images is very excellent, but on the other hand, they are hard to be displayed on such embedded systems as mobile phones, digital photo frames, etc., which have both very limited memory size and very small screen size. In this paper, an efficient large image browser for embedded systems is described. A set of approaches based on pixel resampling technology are proposed to make large images to be displayed effectively. The proposed browser consumes much less memory than many famous image browser softwares. Experimental evaluations of the proposed mechanism indicate that it is efficient and effective for large image display on embedded systems.