… We aimed to improve the Mueller-matrix polarimetry approach by implementing the
wavelet decomposition accompanied with the polarization-singular processing for express …

… , wavelet transform has been applied to extract some features of normal and different grades
of Mueller matrix images of normal and various grades of cervical cancer. Wavelet based …

… target allows to acquire the whole Mueller matrix image [1]. We define the Mueller matrix
image as the two-dimensional measurement of the Mueller matrix attached to each pixel. Many …

… the square matrix of dimension 2Ò ¢2Ò Ò integer. The process of the image wavelet
decomposition goes as follows. On the rows of the matrix the filters À and are applied. Two resulting …

… matrix and the Mueller matrix that govern the polarization properties of the coherent RB [24].
With these matrices, … using polar decomposition methods to decompose the known Jones …

… types of matrices: L for complex Mueller matrices in general and M for Mueller matrices in
general; in the case of pure systems, we will denote the matrices by V and N, respectively. …

… analytical possibilities of using wavelet analysis of azimuthally independent coordinate …
The use of wavelet analysis of the distributions of the values of the Muellermatrix invariants …

… matrices, but can be represented by Mueller matrices. Therefore we will distinguish between
MuellerJones matrices (“pure Mueller matrices”… , the Jones vector of the emerging wavelet is …

… spectral graph wavelet transforms. Single-scale or multiscale graph wavelet transforms are
… meshes as undirected graphs and applying wavelet transforms derived from spectral graph …

… Wavelets come in many shapes and sizes, and new ones are invented almost daily. But any
given decomposition of a signal into wavelets … complexity versus wavelet smoothness.) The …