
Proceedings Paper
5/3 integer wavelet transform for images based on Visual C++Format | Member Price | Non-Member Price |
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Paper Abstract
For the purpose of improving the defect and deficiency in the field of using software to process images with wavelet
transform, this paper introduced one core algorithm in the newest static image compression standard JPEG2000, that is
the reversible 5/3 integer wavelet transform. Then improved the algorithm and programming it based on nonstandard
decomposition method with Visual C++. Eventually a multi-document platform which has a strong portability was
created. 5/3 integer wavelet transform and inverse transform for grayscale can be carried out by this platform. The
wavelet coefficients could also be stored, which can be used for deeper research, such as filtering, image encoding and
decoding, digital watermark and so on. What's more, after processing, the wavelet coefficients might be displayed as an
image, which makes the results more intuitive. In addition, we illustrated the application of the platform through an
example. After verification, 5/3 integer wavelet transform for images is indeed reversible and lossless, and the original
image could be accurately reconstructed. The platform can be also applied to other image processing fields.
Paper Details
Date Published: 1 June 2012
PDF: 8 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833404 (1 June 2012); doi: 10.1117/12.945967
Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)
PDF: 8 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833404 (1 June 2012); doi: 10.1117/12.945967
Show Author Affiliations
Shanxue Yao, Guizhou Univ. (China)
Yonggang Sun, Guizhou Univ. (China)
Chen Luo, Guizhou Univ. (China)
Yonggang Sun, Guizhou Univ. (China)
Chen Luo, Guizhou Univ. (China)
Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)
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