Resolution enhancement of low quality videos using a high-resolution frame

Conference paper (2006)
Department
Quantitative Imaging Group (AS) (TU Delft)
Copyright: ©2006 Pham, T.Q., Van Vliet, L.J., Schutte, K.
Super-resolution synthesis DCT Video restoration Low-quality videos MJPEG
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Published Date

15-01-2006

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Source:

Proceedings of SPIE, 2006 vol. 6077

ISSN:

0277-786X

Faculty

Applied Sciences

Department

Quantitative Imaging Group

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.

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ResolutionPham.pdf
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