Title :
A wavelet domain diversity method for transmission of images over wireless channels
Author :
Ramac, Liane C. ; Varshney, Pramod K.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., NY, USA
fDate :
6/1/2000 12:00:00 AM
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.
Keywords :
data compression; diversity reception; error correction; fading channels; image representation; image resolution; land mobile radio; transform coding; video coding; visual communication; wavelet transforms; SPIHT algorithm; composite image; compressed images; diversity combining; errors; image compression; image data streams; image representation; image transmission; multiple data streams; perceptual quality; received image; receiver; transmitted image; uncompressed images; unequal error protection; wavelet domain diversity method; wireless channels; Diversity methods; Diversity reception; Error correction; Error correction codes; Fading; Image coding; Image communication; Streaming media; Wavelet domain; Wireless communication;
Journal_Title :
Selected Areas in Communications, IEEE Journal on