Xinhe Xu

Northeastern University (Shenyang, China), Shenyang, Liaoning, China

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Publications (2)0 Total impact

  • Conference Proceeding: A New Approach of Nonlinear Wavelet Transforms for Image Compression and Progressive Image Transmission
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    ABSTRACT: Using nonlinear wavelet transform could efficiently represent edges and compact energy into lower subbands of the transform, so the method of introducing nonlinear wavelet transforms into image compression is proposed. The coding method of this approach is based on the set partitioning in hierarchical trees (SPIHT) algorithm. How to progressively transmit the transformed coefficients is also discussed. That is, through controlling either the scale or the bit-rate, progressive image transmission is efficiently executed. The experimental results show that the proposed method performs better than JPEG2000, especially at higher compression ratios
    Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on; 07/2006
  • Conference Proceeding: Extraction of Text under Complex Background Using Wavelet Transform and Support Vector Machine
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    ABSTRACT: A method based on wavelet transform and support vector machine (SVM) for detecting text under complex background is proposed. First, the image is decomposed by wavelet, and then the texture characteristic of text is extracted by using SVM on low-frequency approximate sub-space and high-frequency energy sub-space. Combining wavelet transform and SVM not only reduces the number of input training samples but also accelerates the speed of SVM for learning and classification. This method utilizes the characteristic that SVM is suited to high-dimension space work and improves the efficiency of extracting text. Experimental results show that the current proposed method can correctly and effectively locate text region in the digital image
    Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on; 07/2006

Institutions

  • 2006
    • Northeastern University (Shenyang, China)
      Shenyang, Liaoning, China