The unequal error protection (UEP) codes with wavelet-based algorithm for video compression over wide-band code division multiple access (W-CDMA), additive white Gaussian noise (AWGN) and Rayleigh fading channels are analysed. The utilization of Wavelets has come out to be a powerful method for compress video sequence. The wavelet transform
compression technique has shown to be more appropriate to high quality video applications, producing better quality output for the compressed frames of video. A spatially scalable video coding framework of MPEG2 in which motion correspondences between successive video frames are exploited in the wavelet transform domain. The basic motivation for our coder is that motion fields are typically smooth that can be efficiently captured through a multiresolutional
framework. Wavelet decomposition is applied to video frames and the coefficients at each level are predicted from the coarser level through backward motion compensation. The proposed algorithms of the embedded zero-tree wavelet (EZW) coder and the 2-D wavelet packet transform (2-D WPT) are investigated.
The performance analysis of unequal error protection codes for image transmission over noisy channels and AWGN channels is considered in this paper. The International Standards Organization has proposed the JPEG standard for still image compression. JPEG standard not only provides the basic feature of compression as baseline algorithm but also provides the framework for reconstructing images in different picture qualities and sizes. These features are referred to as SNR and spatial scalability, respectively. The ability of calculation of the bit sensitivity of the compressed image data enables one to perform a highly efficient unequal error protection for image transmission over noisy channels. A channel code is proposed to protect progressively compressed and packetized image data that is transmitted across noisy channels. A group of unequal error protection codes using Trellis Coded Modulation (TCM) for the JPEG compressed images is considered. Computer simulated results of two levels of UEP with TCM and four levels of UEP with TCM are presented.
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