Volume 5 Number 3
July 2008
Article Contents
Li Zhu, Guo-You Wang and Chen Wang. Formal Photograph Compression Algorithm Based on Object Segmentation. International Journal of Automation and Computing, vol. 5, no. 3, pp. 276-283, 2008. doi: 10.1007/s11633-008-0276-8
Cite as: Li Zhu, Guo-You Wang and Chen Wang. Formal Photograph Compression Algorithm Based on Object Segmentation. International Journal of Automation and Computing, vol. 5, no. 3, pp. 276-283, 2008. doi: 10.1007/s11633-008-0276-8

Formal Photograph Compression Algorithm Based on Object Segmentation

  • Received: 2007-01-23
Fund Project:

This work was supported by National Natural Science Foundation of China (No.60372066)

通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Formal Photograph Compression Algorithm Based on Object Segmentation

Fund Project:

This work was supported by National Natural Science Foundation of China (No.60372066)

Abstract: Small storage space for photographs in formal documents is increasingly necessary in today s needs for huge amounts of data communication and storage.Traditional compression algorithms do not sufficiently utilize the distinctness of formal photographs.That is,the object is an image of the human head,and the background is in unicolor.Therefore,the compression is of low efficiency and the image after compression is still space-consuming.This paper presents an image compression algorithm based on object segmentation for practical high-efficiency applications.To achieve high coding efficiency,shape-adaptive discrete wavelet transforms are used to transformation arbitrarily shaped objects.The areas of the human head and its background are compressed separately to reduce the coding redundancy of the background.Two methods,lossless image contour coding based on differential chain,and modified set partitioning in hierarchical trees(SPIHT) algorithm of arbitrary shape,are discussed in detail.The results of experiments show that when bit per pixel(bpp)is equal to 0.078,peak signal-to-noise ratio(PSNR) of reconstructed photograph will exceed the standard of SPIHT by nearly 4dB.

Li Zhu, Guo-You Wang and Chen Wang. Formal Photograph Compression Algorithm Based on Object Segmentation. International Journal of Automation and Computing, vol. 5, no. 3, pp. 276-283, 2008. doi: 10.1007/s11633-008-0276-8
Citation: Li Zhu, Guo-You Wang and Chen Wang. Formal Photograph Compression Algorithm Based on Object Segmentation. International Journal of Automation and Computing, vol. 5, no. 3, pp. 276-283, 2008. doi: 10.1007/s11633-008-0276-8
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