VBM3D is an extension to video of the well-known image denoising algorithm BM3D, which takes advantage sparse representation stacks similar patches in a transform domain. The rather straightforward: 2D are taken from spatio-temporal neighborhood includes neighboring frames. In spite its simplicity, offers good trade-off between performance and computational complexity. this work we revisit meth...

In this paper, a novel deep blind Gaussian denoising network is proposed utilizing the concepts of gradient information, multi-scale feature information and for removing additive white noise (AWGN) from images. The consists two modules where in first module generates an intermediate image whose concatenated with features second to generate final residual image. Subtracting noisy gives desired d...

The phase retrieval from multi-frequency intensity (power) observations is considered. The object to be reconstructed is complex-valued. A novel algorithm is presented that accomplishes both the object phase (absolute phase) retrieval and denoising for Poissonian and Gaussian measurements. The algorithm is derived from the maximum likelihood formulation with Block Matching 3D (BM3D) sparsity pr...

Inspired by group-based sparse coding, recently proposed group sparsity residual (GSR) scheme has demonstrated superior performance in image processing. However, one challenge in GSR is to estimate the residual by using a proper reference of the group-based sparse coding (GSC), which is desired to be as close to the truth as possible. Previous researches utilized the estimations from other algo...

Introduction: The results of under-sampling reconstruction algorithms are often compared to a fully-sampled reconstruction. This comparison is overly optimistic because even if the reconstruction removes the aliasing due to undersampling, we would still have an inherent loss of SNR due to the reduced acquisition time. We present a predictor of image quality for a given reconstruction technique ...

In our recent work [6], we proposed an algorithm for image upsampling based on alternation of two procedures: spatially adaptive Þltering in image domain and projection on the observationconstrained subspace in a wavelet domain. The nonlocal BlockMatching 3-D (BM3D) Þlter was used to suppress ringing and reconstruct missing detail coefÞcients. Here we generalize this method in two aspects. Firs...

To eliminate the noise of infrared thermal image without reference and noise model, an improved dual-tree complex wavelet transform (DTCWT), optimized by an improved fruit-fly optimization algorithm (IFOA) and bilateral filter (BF), is proposed in this paper. Firstly, the noisy image is transformed by DTCWT, and the noise variance threshold is optimized by the IFOA, which is enhanced through a ...

We outline the evolution of the nonparametric regression modelling in imaging from the local Nadaraya-Watson estimates to the nonlocal means and further to the latest nonlocal block-matching techniques based on transform-domain Þltering. The considered methods are classiÞed mainly according to two leading features: local/nonlocal and pointwise/multipoint. Here nonlocal is an alternative to loca...

High-Angle Annular Darkfield Scanning Transmission Electron Microscopy (HAADF-STEM) allows to take images at atomic scale with a contrast proportional to the atomic number. STEM acquires an image line-by-line, pixel-by-pixel leading to characteristic distortions. Furthermore, STEM images of beam sensitive materials have to be taken with short exposure times, leading to low contrast images with ...