Transport-based model for turbulence-corrupted imagery

An Edge-Preserving Filter for Imagery Corrupted with Multiplicative Noise

In the segmentation of natural imagery, differentiation at feature boundaries is of crucial importance. The highamplitude, multiplicative speckle noise present in synthetic aperture radar (SAR) data demands a high level of filtering, yet this noise must be removed without destroying the critical feature boundary information. We previously designed the minimum coefficient of variation (MCV) filt...

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

Electronic transport through dsDNA based junction: a Fibonacci model

A numerical study is presented to investigate the electronic transport properties through a synthetic DNA molecule based on a quasiperiodic arrangement of its constituent nucleotides. Using a generalized Green's function technique, the electronic conduction through the poly(GACT)-poly(CTGA) DNA molecule in a metal/DNA/metal model structure has been studied. Making use of a renormalization schem...

Model - Based Detection and Correction of Corrupted WaveletCoe

Image decomposition based on the discrete wavelet transform (DWT) has been proposed for eecient storage and progressive transmission of images for visual browsing in digital image libraries. Although the compression aspects of the DWT have been carefully researched, reconstruction errors due to corrupted wavelet coeecients have received less attention. In this paper we consider the problem of b...

Signal Modeling of Turbulence-Distorted Imagery