This paper presents an image inpainting method based on sparse representations
optimized with respect to a perceptual metric. In the proposed method, the structural …

Approximate computing is a very promising design paradigm for crossing the CPU power
wall, primarily driven by the potential to sacrifice output quality for significant gains in …

A missing intensity interpolation method using a kernel principal component analysis (PCA)-
based projection onto convex sets (POCS) algorithm and its applications are presented in …

In this paper, a missing image data reconstruction method based on an adaptive inverse
projection via sparse representation is proposed. The proposed method utilizes sparse …

A missing texture reconstruction method based on an error reduction (ER) algorithm,
including a novel estimation scheme of Fourier transform magnitudes is presented in this …

This paper proposes a novel image inpainting algorithm based on sparse representation
with histogram dictionary. In the propose method, it is a patch-based inpainting method, a …

A data correction apparatus which corrects data associated with an image of an object
projects vector data obtained by connecting data to be corrected to each other onto a …

In this paper, we propose a dual diversified dynamical Gaussian process latent variable
model (D 3 GPLVM) to tackle the video repairing issue. For preservation purposes, videos …

This paper presents adaptive subspace-based inverse projections via division into multiple
sub-problems (ASIP-DIMSs) for missing image data restoration. In the proposed method, a …

This paper presents an inpainting method based on 2D semi-supervised canonical
correlation analysis (2D semi-CCA) including new priority estimation. The proposed method …