Memory reduction by Haar Wavelet Transform for MPEG decoder

In MPEG-2 HDTV (MP@HL) application, bandwidth and size of memory requiremen ts are very large. These requirements increase bus bandwidth and hardware c ost. We present a simple method that requires low complexity hardware for M PEG-2 decoder memory reduction, Our algorithm is based on Haar Wavelet Tran sformation and Haar basis with full-tree decomposition transformation. No a dditional multipliers are needed. Following the transformation, we use a va riable-length coder to compress the data before storing them to the memory for future references. For memory accesses, we apply group of macroblock se gment coding and hierarchical access method to reduce access time. Accordin g to our simulation results, our technique can at least cut down the memory requirement from 12 Mbytes to 7 Mbytes for 4:2:0 HDTV real-time applicatio n. The real performance is dependent on the bit rate and the original MPEG2 decoded video quality.