SOO-CHANG PEIChen, F.-C.F.-C.Chen2020-06-112020-06-11199402533839https://scholars.lib.ntu.edu.tw/handle/123456789/498901https://www.scopus.com/inward/record.uri?eid=2-s2.0-0028386989&doi=10.1080%2f02533839.1994.9677592&partnerID=40&md5=8278359921499e43b8fbbfeedae893e8An efficient 3-D spatiotemporal image sequence decomposition method using mathematical morphology is described in this paper. The method can be used to decompose the spectrum of the input signal into 8 and 4 spatiotemporal subband images. It does this using two different sets of structuring elements. After decomposition, each band image can be decimated and coded for data transmission. This subband pyramid scheme preserves the number of pixels which existed in the original image, has an efficient hierarchical data structure, and allows parallel implementation. Therefore, this scheme has great potential for High Definition Television (HDTV) coding, multimedium video compression, etc. As regards filtering, the unique advantages of morphology over the linear filtering approach are: 1) it utilizes direct geometric interpretations; and 2) it is simple and efficient when used in conjunction with parallel/pipelining hardware. Some image sequence examples are given to show the effectiveness of this approach. © 1994 Taylor & Francis Group, LLC.Mathematical morphology; Structuring elementAlgorithms; Computer aided design; High definition television; Image processing; Image coding; Linear filtering; Parallel implementation; Subband pyramid scheme; Video compression; Multiprogrammingjournal article10.1080/02533839.1994.96775922-s2.0-0028386989https://www.scopus.com/inward/record.uri?eid=2-s2.0-0028386989&doi=10.1080%2f02533839.1994.9677592&partnerID=40&md5=8278359921499e43b8fbbfeedae893e8