Abstract
Wavelet transform has the good characteristic of time domain and frequency domain, have been widely used in areas such as signal processing. With the development of science and technology there is a new wavelet transform method has appeared, and used as the core transforming technology in JPEG2000, a newest image compression standard. Based on the principle of lifting wavelet algorithm, this paper analyzes its characteristics. Analysis of the JPEG2000 algorithm used in Le Gall 5/3 and Daubechies 9/7 two wavelet transform.
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References
Zhang Z, Ma S, Tan K (2010) Gauss noise image recovering method based on directional wavelet transform. J Jilin Univ (Sci Ed) 48(06):987–994
Hu H (2010) Based on integer wavelet transform image processing algorithm. J Hunan Univ Arts Sci (Sci Technol) (01):58–60
Liu B, Fu Z (2018) Multi-focus image fusion based on four-channel non-separable lifting wavelet. Syst Eng Electron 40(2)
Liu H, Wei Z (2009) Image denoising based on maxima child node dependence coefficients in wavelet domain. Comput Eng (13):214–215
He W (2013) Application of lifting wavelet transform in image edge detection. Comput Knowl Technol (25):5703–5704
Kang Y, Xu H, Wang Y (2007) Application and realization of the lifting wavelet algorithm in reversible transforms of JPEG2000. Ship Electron Eng (6):137–139
Sun Y (2005) Wavelet analysis and application, vol 3. China Machine Press, pp 36–37, 52–54
Wang C, Gao X (2018) Despeckling algorithm for ultrasound images based on variational filter in wavelet domain. J Southwest China Normal Univ (Nat Sci Ed) 43(7)
Luo Le, Chen Q, Dai H, Gu G, He W (2018) Adaptive compression sampling with compressive sensing and extended wavelet tree. Chin J Lumin 39(10)
Huang Y, Tian X (2018) Design and implementation of fuzzy image processing system based on wavelet transform. Modern Electron Tech 41(19)
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Ding, L., Chen, W. (2020). The Analysis and Research of Lifting Scheme Based on Wavelet Transform. In: Xu, Z., Choo, KK., Dehghantanha, A., Parizi, R., Hammoudeh, M. (eds) Cyber Security Intelligence and Analytics. CSIA 2019. Advances in Intelligent Systems and Computing, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-030-15235-2_190
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DOI: https://doi.org/10.1007/978-3-030-15235-2_190
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Online ISBN: 978-3-030-15235-2
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