dc.contributor.authorShwe, Cherry Tin.
dc.date.accessioned2009-06-18T02:13:23Z
dc.date.available2009-06-18T02:13:23Z
dc.date.copyright2009en_US
dc.date.issued2009
dc.identifier.urihttp://hdl.handle.net/10356/17932
dc.description.abstractIn this report, image compression using a new transform called Sequency-ordered Complex Hadamard Transform (CS-SCHT) is presented with simulation results and computer based implementation demo. This compression method is specifically introduced for reducing computational complexity, archiving reasonably high-quality images of scanned documents with lowering cost for future real-time implementation. Transform matrix of the CS-SCHT possesses sequency ordering and its spectrum is a conjugated symmetric. Comparison of energy compaction capabilities of commonly used transforms such as discrete cosine transforms (DCT), sequence ordered Walsh transform (SOWT) and CS-SCHT are given. Computational load of the CS-SCHT is also compared against the above mentioned commonly used transforms. Derivation and proof of its properties are discussed and analyzed with applications in image compression. Mean-square-error (MSE) and Peak Signal to Noise Ratio (PSNR) performances are considered as standard measures of image quality. Simulation results from MATLAB and low level programming language C# proved that the CS-SCHT is promising to be developed in such application.en_US
dc.format.extent103 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleImage compression using conjugate symmetric sequency-ordered complex hadamard transform [CS-SCHT].en_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorNg Boon Poh (EEE)en_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeELECTRICAL and ELECTRONIC ENGINEERINGen_US


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