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JPEG2000 Image Compression Using SVM and DWT

Journal Name:

  • International Journal of Science and Engineering Investigations

Publication Year:

  • 2012

Key Words:

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Image compression has expensively been developed as an important technique in multimedia applications and communication arena. This paper presents an effective method for image compression standard based on a Neural Network system for Discrete Wavelet Transform (DWT) and JPEG2000 encoder. We employ a Support Vector Machine (SVM) algorithm to compress the coefficients of DWT more efficiently. “Daubechies 9.7” wavelet have been used to DWT and the algorithm is a combination of SVs and corresponding weights and then coefficients are quantized and encoded. Obtained proposed simulation results show that the proposed algorithm achieve better image quality than that of existing methods for a given compression ratio and an improvement in compression performance.
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  • 3
53-57
  • English

REFERENCES

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