We propose a powerful video filtering algorithm that exploits temporal and spatial
redundancy characterizing natural video sequences. The algorithm implements the …

The block matching 3D (BM3D) is an efficient image model, which has found few
applications other than its niche area of denoising. We will develop a magnetic resonance …

We propose a powerful video denoising algorithm that exploits temporal and spatial
redundancy characterizing natural video sequences. The algorithm implements the …

In this paper, we develop a framework to design sensing matrices for compressive sensing
applications that lead to good mean squared error (MSE) performance subject to sensing …

A nonlocal kernel regression (NL-KR) model is presented in this paper for various image
and video restoration tasks. The proposed method exploits both the nonlocal self-similarity …

Image restoration methods aim to recover the underlying clean image from corrupted
observations. The expected patch log-likelihood (EPLL) algorithm is a powerful image …

ABSTRACT In our recent work [6], we proposed an algorithm for image upsampling based
on alternation of two procedures: spatially adaptive filtering in image domain and projection …

Computational imaging pipelines (CIPs) convert the raw output of imaging sensors into the
high-quality images that are used for further processing. This work studies how Block …

In this chapter, the authors provide an overview of the versatile approach, with particular
emphasis on three challenging and important imaging applications: inversion from sparse or …

A single fast super-resolution method based on first-order derivatives from neighbor pixels is
proposed. The basic idea of the proposed method is to exploit a first-order derivatives …