Abstract
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.
This work was supported by Foundation of Department of Education of Zhejiang Province with Grant No. Y200907573 and partially supported by Zhejiang Province Nature Science Foundation of China with Grant No. Y1090881.
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References
Christopoulos, C., Skodras, A., Ebrahimi, T.: The JPEG2000 still image coding system: an overview. IEEE Trans. Consumer Electron. 46(4), 1103–1127 (2000)
Li, J., Sun, H.-H.: On Interactive Browsing of Large Images. IEEE Trans. on Multimedia 5(4), 581–590 (2003)
Chen, L.Q., Xie, X., Fan, X., Ma, W.Y., Zhang, H.J., Zhou, H.Q.: A visual attention model for adapting images on small displays. ACM Multimedia Syst. J. 9(4), 353–364 (2003)
Fan, X., Xie, X., Ma, W.Y., Zhang, H.J., Zhou, H.Q.: Visual attention based image browsing on mobile devices. In: Proc. ICME 2003, Baltimore, MD, vol. I, pp. 53–56 (July 2003)
Xie, X., Liu, H., Maand, W.-Y., Zhang, H.-J.: Browsing Large Pictures Under Limited Display Sizes. IEEE Trans. on multimedia 8(4), 707–715 (2006)
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Liu, Y., He, Z., Yu, H., Liu, J. (2010). Efficient Large Image Browser for Embedded Systems. In: Wang, F.L., Deng, H., Gao, Y., Lei, J. (eds) Artificial Intelligence and Computational Intelligence. AICI 2010. Lecture Notes in Computer Science(), vol 6319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16530-6_2
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DOI: https://doi.org/10.1007/978-3-642-16530-6_2
Publisher Name: Springer, Berlin, Heidelberg
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