We describe a method for removing noise from digital images, based on a statistical model
of the coefficients of an overcomplete multiscale oriented basis. Neighborhoods of …

A critical issue in image restoration is the problem of noise removal while kee** the
integrity of relevant image information. Denoising is a crucial step to increase image quality …

We propose an image restoration technique exploiting regularized inversion and the recent
block-matching and 3D filtering (BM3D) denoising filter. The BM3D employs a non-local …

Reduced-reference image quality assessment (RRIQA) methods estimate image quality
degradations with partial information about the ldquoperfect-qualityrdquo reference image …

We introduce a class of inverse problem estimators computed by mixing adaptively a family
of linear estimators corresponding to different priors. Sparse mixing weights are calculated …

The proliferation of low-cost infrared cameras gives us a new angle for attacking many
unsolved vision problems by leveraging a larger range of the electromagnetic spectrum. A …

An already existing, sub-critical arrangement made of natural uranium and water moderator
has been exposed to a low intensity (≈ 109 ppp) proton beam from CERN-PS at several …

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 …

A new fuzzy filter is presented for the reduction of additive noise for digital color images. The
filter consists of two subfilters. The first subfilter computes fuzzy distances between the color …

We propose an algorithm for designing linear equalizers that maximize the structural
similarity (SSIM) index between the reference and restored signals. The SSIM index has …