DocumentCode :
2316462
Title :
An efficient implementation of a phase unwrapping kernel on reconfigurable hardware
Author :
Braganza, Sherman ; Leeser, Miriam
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA
fYear :
2008
fDate :
2-4 July 2008
Firstpage :
138
Lastpage :
143
Abstract :
The optical quadrature method of microscopy (OQM) uses phase data to capture information about the sample being studied. This phase data need to be unwrapped before it can be of use. Phase unwrapping is the process by which an integer multiple of 2pi is added to a measured, wrapped phase value in order to generate a continuous function. The algorithm used is the minimum LP norm method which uses a two dimensional discrete cosine transform (2-D DCT) which forms the most computationally expensive part of the minimum LP norm method. This paper presents an implementation on reconfigurable hardware that performs the 2-D DCT over the entire 1024 times 512 image, solves the intermediate equation and then performs the two dimensional Inverse discrete cosine transform (2-D IDCT) using a novel FPGA implementation of the DCT with a semi-floating point data representation. This represents the largest 2-D DCT FPGA implementation in the literature, with most previous work focusing on the 8 times 8 transform.
Keywords :
discrete cosine transforms; field programmable gate arrays; image reconstruction; reconfigurable architectures; 2D DCT FPGA implementation; inverse discrete cosine transform; optical quadrature method; phase data; phase unwrapping kernel; reconfigurable hardware; semifloating point data representation; Discrete cosine transforms; Field programmable gate arrays; Hardware; Kernel; Optical microscopy; Optical sensors; Optical signal processing; Phase measurement; Signal processing algorithms; Two dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Application-Specific Systems, Architectures and Processors, 2008. ASAP 2008. International Conference on
Conference_Location :
Leuven
ISSN :
2160-0511
Print_ISBN :
978-1-4244-1897-8
Electronic_ISBN :
2160-0511
Type :
conf
DOI :
10.1109/ASAP.2008.4580168
Filename :
4580168
Link To Document :
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