image codingimage colour analysiswavelet transforms/ color image encodingfractional Fourier-wavelet domainwavelet subbandsdigital color image processingrandom phasesA new cryptology in dual fractional Fourier-wavelet domain is proposed in this paper, which is calculated by discrete fractional Fourier transform...
In digital image processing, great success has been obtained recently by a class of perceptually based embedded wavelet image coding algorithms, such as SPIHT, and EBCOT [7] algorithms. Some scheme didn't incorporate the optimal quantization model proposed by Watson. This model is based on a ...
Part 3 Wavelet transform and image coding, M. Antonini et al: abstract wavelet transform definition of wavelets multiresolution analysis - scaling function multiresolution analysis and digital filter banks quality criteria for wavelets used in image processing biorthogonal wavelets extension to the ...
Tabatabai. “Sub-Band Coding of Digital Images Using Symmetric Short Kernel Filters and Arithmetic Coding Techniques.” In ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 761–64. New York, NY, USA: IEEE, 1988. https://doi.org/10.1109/ICASSP.1988.196696....
Sign in to download full-size image Figure 3. (a) Two-dimensional n-stage wavelet transform; (b) three-stage wavelet transform of the Lena image.From da Silva, E. A. B., Sampson, D. G., and Ghanbari, M., A successive approximation vector quantizer for wavelet transform image coding,...
Noll, Digital coding of waveforms, Englewood Cliff, New Jersey: Prentice-Hall, 1984. Google Scholar J. D. Villasenor, B. Belzer, and J. Liao, “Filter evaluation and selection in wavelet image compression,” in Proceedings of the Data Compression Conference, Snowbird, UT, 1994, pp. 351–...
A filter process is to convolute a digital signal with a filter, converting an input digital signal to an output digital signal. A subband coding scheme is a synthetic filter process which convert an input signal to several output signals. ...
The classical wavelet packet transform (WPT) has been widely spread to the information processing field for image coding20, pattern matching21 and fractional brownian motion decorrelation22. It indicates that the quantum wavelet packet transform (QWPT) plays an important role in QIP. Unfortunately, ...
Consequently, fCWT enables real-time analysis of high-frequency signal dynamics, as exist in audio (for example, loudspeaker characterization22, full band speech coding23 and paralinguistic analysis24), biosignals (for example, brain–computer interfaces12 and peripheral signals such as ECG, ...
The method of computing the binary sequence for chirp coding from these energy values follows that described in the method of power spectral decomposition. Clearly, whether applying the power spectral decomposition method or wavelet decomposition, the computations are undertaken in digital form using a ...