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Image Correction using Reed Muller Code

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dc.description.abstract Image signal processing is one of the important aspects while communicating from long distances. Background noise of images is one of the primary concerns in obtaining clear accurate images. This problem is further amplified if the spacecraft transmitting images are farther away from the earth’s orbit. The larger the distance of the transmitter from the earth the greater is the problem of background noise. In order to overcome this problem, the image information obtained is reconstructed using error-correcting codes. In my paper I have used the Hadamard matrices to generate a 32x32 matrix consisting of binary digits with each row representing a number between 0-31, the first row represents the number 0 and the 32nd row represents the number 31. The results proved that the error correction approach employed in this paper is very accurate when the number of errors in each row is less than 8. en_US
dc.title Image Correction using Reed Muller Code en_US
dc.date.accessioned 2013-07-23T16:24:27Z
dc.date.available 2013-07-23T16:24:27Z
dc.date.issued 2013-07-23
dc.identifier.uri http://hdl.handle.net/10365/23049
dc.thesis.degree Paper (M.S.)--North Dakota State University, 2013. en_US
dc.contributor.advisor Nygard, Kendall
dc.subject.course Master of Science / Computer Science, College of Science and Mathematics, 2013. en_US
dc.subject.lcsh Signal processing. en_US
dc.subject.lcsh Image processing. en_US
dc.subject.lcsh Error-correcting codes (Information theory) en_US
dc.creator.author Ginjupalli, Siva Krishna
dc.date.created 2013

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