Digital Signal Processing Projects
In
this project, we have developed three new methods for the computationally efficient design of two-band QMF banks based on
a frequency-sampling approach.
We have developed several techniques for the optimal quantization of the subband coefficients in non-orthogonal subband coders.
Peer group filtering (PGF) is a nonlinear algorithm for image
smoothing and impulse noise removal in color images. PGF can be used for a very coarse quantization, while preserving the
color information in the original images.
The signal-dependent rank-ordered mean (SD-ROM) filter
is a decision-based filter that has been shown to be very effective for removing impulses from
grayscale images. Recent work has expanded the filter to apply to
various types of color images and other types of noise.
In this project, we have developed a new type of DFT, called the warped discrete Fourier transform (WDFT), which computes the frequency samples of the
z-transform of a length-N sequence at N non-uniformly spaced frequency points on the unit circle.
In this project, we are investigating the estimation of the parameters modeling the geometric distortions introduced by the lens.
