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Proceedings Paper

Geometric-structure-based directional filtering for error concealment in image/video transmission
Author(s): Wenjun Zeng; Bede Liu
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Paper Abstract

The time varying nature of wireless channels can cause severe error bursts or dropouts. It is important to recover lost data in coded images in interactive video communication over wireless network. A good spatial interpolation strategy is considered as essential for replenishing missing blocks in still images and video frames. This paper proposes a novel spatial directional interpolation scheme which makes use of the local geometric information extracted from the surrounding blocks. Specifically, statistics of the local geometric structure are modeled as a bimodal distribution. The two nearest surrounding layers of pixels are converted into binary pattern to reveal the local geometric structure. A measure of directional consistency is employed to resolve ambiguity of possible connections of the transition points on the inner layer. The transition lines can be specified within one-pixel accuracy, unlike previous directional filtering schemes which usually filter along only one single direction chosen from a finite candidate set. The new approach produces results that are superior to that of other approaches, in terms of both peak signal-to-noise ratio (PSNR) and visual quality. The computation is also much reduced. It is observed that local structures such as edges, streaks and corners are well preserved in the reconstructed image.

Paper Details

Date Published: 8 December 1995
PDF: 12 pages
Proc. SPIE 2601, Wireless Data Transmission, (8 December 1995); doi: 10.1117/12.228136
Show Author Affiliations
Wenjun Zeng, Princeton Univ. (United States)
Bede Liu, Princeton Univ. (United States)


Published in SPIE Proceedings Vol. 2601:
Wireless Data Transmission
Robert C. Dixon; Modest M. Oprysko, Editor(s)

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