Abstract
An efficient subband image decomposition method for monochrome and color images made possible by mathematical morphology is described. The input signal spectrum is decomposed into four-subband and two-subband images by using two different sets of structuring elements. Then each band image can be decimated and coded effectively for data transmission. This subband pyramid scheme preserves the number of pixels as that in the original image Also, the data structure itself is very compact. The advantages of morphology over the linear filtering approach are its direct geometric interpretation, simplicity, and efficiency in hardware implementation. Some image examples are presented to show the effectiveness of this approach.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
