Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/174712
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dc.titleA RECONFIGURABLE PIPELINED PROCESSOR FOR REAL TIME IMAGE PROCESSING
dc.contributor.authorGOH WEI CHUAN
dc.date.accessioned2020-09-08T08:51:55Z
dc.date.available2020-09-08T08:51:55Z
dc.date.issued1998
dc.identifier.citationGOH WEI CHUAN (1998). A RECONFIGURABLE PIPELINED PROCESSOR FOR REAL TIME IMAGE PROCESSING. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/174712
dc.description.abstractThe advent of field programmable gate arrays (FPGAs) has provided a new tool in the development of specialized hardware for many real time applications in image processing, vision control, and robotics [ 1-7]. These applications have long depended on application-specific integrated circuits (ASICs) which are hardware intensive and very few support reconfigurability, mainly in designs with general purpose microprocessors. This project aims to produce a feasible design for a Reconfigurable Pipelined Processor (RPIP) using FPGAs to achieve both the processing speed of ASICs and a sufficient degree of flexibility in reconfigurability for a class of image processing algorithms. Each processing element (PE) in this multiprocessor system is based on a single hardware design, and a chain of PEs can be connected to form a pipeline structure. A stream of data, which can be images, voice or video, enters the pipeline and undergoes a set of pre-defined transformations specified by digital signal processing (DSP) algorithms and produce useful information for verification, inspection or immediate display.
dc.sourceCCK BATCHLOAD 20200918
dc.typeThesis
dc.contributor.departmentELECTRICAL ENGINEERING
dc.contributor.supervisorYE QIN ZHONG
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF ENGINEERING
Appears in Collections:Master's Theses (Restricted)

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