Architecture for Three-Dimensional (3-D) Discrete Wavelet Transform for Grayscale image

Three-dimensional discrete wavelet transform (3-D DWT) is used for compression applications. DWT allows for better compression on 3-D data as compared with 2-D methods. This paper describe an architecture for the threedimensional DWT, called the 3DW-I. 3DW-I architecture is based on folding. Applications of this architecture include high definition television (HDTV) and medical data compression, such as magnetic resonance imaging (MRI). Three-dimensional DWT is implemented in 3DW-I architecture like to folded one-dimensional and twodimensional designs. 3-D DWT allows even distribution of the processing load onto 3 sets of filters, with each set performing the calculations for one dimension. The control for this design is very simple, since the data are operated on in a row–column and image fashion. The architecture is described according to memory requirements, number of clock cycles, and processing of frames per second.