Paper
19 January 2006 Resolution enhancement of low-quality videos using a high-resolution frame
Tuan Q. Pham, Lucas J. van Vliet, Klamer Schutte
Author Affiliations +
Proceedings Volume 6077, Visual Communications and Image Processing 2006; 607708 (2006) https://doi.org/10.1117/12.643489
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
This paper proposes an example-based Super-Resolution (SR) algorithm of compressed videos in the Discrete Cosine Transform (DCT) domain. Input to the system is a Low-Resolution (LR) compressed video together with a High-Resolution (HR) still image of similar content. Using a training set of corresponding LR-HR pairs of image patches from the HR still image, high-frequency details are transferred from the HR source to the LR video. The DCT-domain algorithm is much faster than example-based SR in spatial domain6 because of a reduction in search dimensionality, which is a direct result of the compact and uncorrelated DCT representation. Fast searching techniques like tree-structure vector quantization16 and coherence search1 are also key to the improved efficiency. Preliminary results on MJPEG sequence show promising result of the DCT-domain SR synthesis approach.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tuan Q. Pham, Lucas J. van Vliet, and Klamer Schutte "Resolution enhancement of low-quality videos using a high-resolution frame", Proc. SPIE 6077, Visual Communications and Image Processing 2006, 607708 (19 January 2006); https://doi.org/10.1117/12.643489
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CITATIONS
Cited by 16 scholarly publications.
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KEYWORDS
Lawrencium

Video

Image compression

Image registration

Image fusion

Quantization

Super resolution

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