Line detection algorithms constitute the basis for technical document analysis and recognition. The performance of these algorithms decreases as the quality of the documents degra...
In domains like confocal microscopy, the imaging process is based on detection of photons. It is established the additive Gaussian noise model is a poor description of the actual ...
A fast exploratory framework for extracting cardiac noise signals contained in rest-case fMRI images is presented. Highly autocorrelated, independent components of the input time ...
This work reduces the computational requirements of the additive noise steganalysis presented by Harmsen and Pearlman. The additive noise model assumes that the stegoimage is crea...
Jeremiah J. Harmsen, Kevin D. Bowers, William A. P...
In this work an improved scheme for eliminating impulsive noise of varying strengths from corrupted images is proposed. A neural network is employed to classify the corrupted and n...