Recent advances in computer vision technologies have made possible the development of
intelligent monitoring systems for video surveillance and ambient-assisted living. By using …

As one of the three pillars in computational intelligence, fuzzy systems are a powerful
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …

Image inpainting involves filling in part of an image or video using information from the
surrounding area. Applications include the restoration of damaged photographs and movies …

An algorithm for the simultaneous filling-in of texture and structure in regions of missing
image information is presented in this paper. The basic idea is to first decompose the image …

Inspired by the recent work of Bertalmio et al. on digital inpaintings [SIGGRAPH 2000], we
develop general mathematical models for local inpaintings of nontexture images. On smooth …

A variational approach for filling-in regions of missing data in digital images is introduced.
The approach is based on joint interpolation of the image gray levels and gradient/isophotes …

No time in human history has ever witnessed such explosive influence and impact of image
processing on modern society, sciences, and technologies. From nanotechnologies …

This book provides an introduction to the use of geometric partial differential equations in
image processing and computer vision. This research area brings a number of new …

Image inpainting is an image restoration problem, in which image models play a critical role,
as demonstrated by Chan, Kang & Shen's [12] recent inpainting schemes based on the …

Fast Digital Image Inpainting Page 1 Fast Digital Image Inpainting Manuel M. Oliveira Brian
Bowen Richard McKenna Yu-Sung Chang Department of Computer Science State …