Year: 2010
Type: conference-paper
Abstract: I. I NTRODUCTION Super-resolution (SR) plays an important role in image processing applications nowadays due to the huge amount of low quality video and image material. Low quality is a consequence of using low-cost imaging sensors for image/video acquisition, such as web-cameras, cell phone and surveillance cameras. Furthermore, the increasing popularity of HDTV makes the SR methods necessary for resolution enhancement of NTSC and PAL recordings. The task of SR is to infer a HR image from one or more low resolution (LR) images. There are two main approaches: classical and example-based.
Author: Tijana Ružić
Institution: Ghent University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2298587072