3D spatiotemporal subband decomposition of image sequences by mathematical morphology

An efficient 3D spatiotemporal image sequence decomposition method using mathematical morphology is described. It decomposes the input signal spectrum into eight spatiotemporal subband images by using two different sets of structuring elements. Each band image can be decimated and coded effectively for data transmission. This subband pyramid scheme preserves the number of pixels as in the original image, has an efficient hierarchical data structure, and also allows parallel implementation. The unique advantages of morphology over the linear filtering approach are its direct geometric interpretation, simplicity, and efficiency in parallel/pipelining hardware implementation. Some image sequence examples are given to show the effectiveness of this approach