The contourlet transform is a new two-dimensional extension of the wavelet transform using multiscale and directional filter banks. The contourlet expansion is composed of basis images oriented atâ€¦ (More)

Directional multiresolution image representations have lately attracted much attention. A number of new systems, such as the curvelet transform and the more recent contourlet transform, have beenâ€¦ (More)

Directional information is an important and unique feature of multidimensional signals. As a result of a separable extension from one-dimensional (1-D) bases, the multidimensional wavelet transformâ€¦ (More)

We propose a new subspace decomposition scheme called anisotropic wavelet packets which broadens the existing definition of 2-D wavelet packets. By allowing arbitrary order of row and columnâ€¦ (More)

The contourlet transform is a new extension to the wavelet transform in two dimensions using nonseparable and directional filter banks. The contourlet expansion is composed of basis images orientedâ€¦ (More)

We quantitatively analyze the rendering quality of image-b ased rendering (IBR) algorithms using per-pixel depth. Assuming the ideal pinhole camera model, w extend theerror aggregation frameworkâ€¦ (More)

We present a new method for general multidimensional multichannel deconvolution with finite impulse response (FIR) convolution and deconvolution filters using Grobner bases. Previous work formulatesâ€¦ (More)

In 1992, Bamberger and Smith proposed the directional filter bank (DFB) for an efficient directional decomposition of two-dimensional (2-D) signals. Due to the nonseparable nature of the system,â€¦ (More)

Recently, the contourlet transform has been developed as a true two-dimensional representation that can capture the geometrical structure in pictorial information. Unlike other transforms that wereâ€¦ (More)

Thanks to the explosive growth of sensing devices and capabilities, multidimensional (MD) signals â€” such as images, videos, multispectral images, light fields, and biomedical data volumes â€” haveâ€¦ (More)