Abstract. We present a spatio-temporal filtering method for significantly increasing the signal-to-noise ratio (SNR) in noisy fluorescence microscopic image sequences where smal...
Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
Within the field of cultural heritage restoration, experts are interested in the analysis of data describing the condition and history of ancient monuments. Data are usually distr...
In recent years Bayes Least Squares - Gaussian scale mixtures (BLS-GSM) has emerged as one of the most powerful methods for image restoration. Its strength relies on providing a si...
Jose A. Guerrero-Colon, Luis Mancera, Javier Porti...
A general methodology for noise reduction and contrast enhancement in very noisy image data with low dynamic range is presented. Video footage recorded in very dim light is especi...
Henrik Malm, Magnus Oskarsson, Eric Warrant, Petri...