Wavelet domain diversity method for transmission of images over wireless channels

Liane C. Ramac; Pramod K. Varshney

doi:10.1109/49.848244

Wavelet domain diversity method for transmission of images over wireless channels

Liane C. Ramac, Pramod K. Varshney

Department of Electrical Engineering & Computer Science

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

We propose a wavelet domain diversity combining method to combat errors during image transmission on wireless channels. For images represented in the wavelet domain, diversity is used to obtain multiple data streams corresponding to the transmitted image at the receiver. These individual image data streams are combined to form a composite image with higher perceptual quality. Both uncompressed and compressed images are considered. The SPIHT algorithm is used for image compression. Diversity combining methods for both uncompressed and compressed images exploit the characteristics of the wavelet transform. For compressed images, unequal error protection is employed in conjunction with diversity combining. Simulation results demonstrate that the quality of the received image can be significantly improved.

Original language	English (US)
Pages (from-to)	891-898
Number of pages	8
Journal	IEEE Journal on Selected Areas in Communications
Volume	18
Issue number	6
DOIs	https://doi.org/10.1109/49.848244
State	Published - Jun 2000

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

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abstract = "We propose a wavelet domain diversity combining method to combat errors during image transmission on wireless channels. For images represented in the wavelet domain, diversity is used to obtain multiple data streams corresponding to the transmitted image at the receiver. These individual image data streams are combined to form a composite image with higher perceptual quality. Both uncompressed and compressed images are considered. The SPIHT algorithm is used for image compression. Diversity combining methods for both uncompressed and compressed images exploit the characteristics of the wavelet transform. For compressed images, unequal error protection is employed in conjunction with diversity combining. Simulation results demonstrate that the quality of the received image can be significantly improved.",

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note = "Funding Information: Manuscript received May 5, 1999; revised October 29, 1999. This work was supported by Air Force Research Laboratory, Air Force Materiel Command, USAF, under Grant F30602-95-1-0027 and by the National Science Foundation under Grant ECS-9901361. This paper was presented at the International Conference on Information Fusion, Sunnyvale, CA, July 1999.",

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N2 - We propose a wavelet domain diversity combining method to combat errors during image transmission on wireless channels. For images represented in the wavelet domain, diversity is used to obtain multiple data streams corresponding to the transmitted image at the receiver. These individual image data streams are combined to form a composite image with higher perceptual quality. Both uncompressed and compressed images are considered. The SPIHT algorithm is used for image compression. Diversity combining methods for both uncompressed and compressed images exploit the characteristics of the wavelet transform. For compressed images, unequal error protection is employed in conjunction with diversity combining. Simulation results demonstrate that the quality of the received image can be significantly improved.

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Wavelet domain diversity method for transmission of images over wireless channels

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