–—Wavelet expansions and wavelet transforms have proven to be very efficient and effective in analyzing a very wide class of signals and phenomena. Wavelet expansion allows a m...
Because the characteristic of wavelet transform is multi-resolution, their unique advantage of the data model is multi-scale analysis. Then, it's widely used the Wavelet-base...
This paper validates a recognition system using bidimensional wavelet transforms as feature extractor and investigates the relevance of each subband image in the recognition proce...
We introduce an Nth-order extension of the Riesz transform in d dimensions. We prove that this generalized transform has the following remarkable properties: shift-invariance, sca...
The wavelet transform is a very popular tool in engineering for signal analysis. With respect to image compression, the new JPEG 2000 image standard incorporates wavelet transform...