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Wavelets are being utilized in various communications applications either as an alternative to short time Fourier transform for spectral analysis of non-stationary data or as a new tool to bridge between time domain and frequency domain analysis. A wavelet-based algorithm for image compression with four levels of unequal error protection (UEP) codes over wide-band code division multiple access (W-CDMA), additive white Gaussian noise (AWGN) and Rayleigh fading channels are analyzed. The utilization of wavelets has come out to be a powerful method for compress images. The wavelet transform compression technique has shown to be more appropriate to low bit rate applications, producing better quality output for the compressed frame of video. The proposed algorithms of the 2-D wavelet packet transform (2-D WPT) and the embedded zero-tree wavelet (EZW) coder are investigated.