Performance study of an image restoration algorithm for bursty mobile satellite channels

Authors:
Fatih Alagöz;Gürkan Gür;Mohammed AbdelHafez
Affiliations:
NETLAB, Department of Computer Engineering, Boğaziçi University, TR;NETLAB, Department of Computer Engineering, Boğaziçi University, TR;Department of Electrical Engineering, United Arab Emirates University, UAE
Venue:
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Year:
2005

Citing 5
Cited 0

Error control using retransmission schemes in multicast transport protocols for real-time media

IEEE/ACM Transactions on Networking (TON)
Adaptive rate control and QoS provisioning in direct broadcast satellite networks

Wireless Networks - Special issue: Design and modeling in mobile and wireless systsems
On Modeling the Packet Error Statistics in Bursty Channels

LCN '02 Proceedings of the 27th Annual IEEE Conference on Local Computer Networks
JPEG2000-coded image error concealment exploiting convex sets projections

IEEE Transactions on Image Processing
An error concealment algorithm for images subject to channel errors

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Error-concealment techniques provide a simple framework to compensate transmission distortions without incurring additional delays and wasting bandwidth resources which are crucial for real-time applications over networks with limited resources. In [1], we have presented an error concealment technique utilizing discrete wavelet transform (DWT) for embedding macroblock-based best-neighborhood-matching (BNM) information into the original image in order to utilize spatial redundancy. In this paper, we investigate the performance of Best-neighborhood-matching and Wavelets based Error-Concealment (BWEC) algorithm in bursty mobile satellite channels. We show that this technique is specifically promising for bursty mobile satellite channels suffering a wide range of packet losses, at the expense of some degradation in the perceptual quality of the original image and computational burden.