Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/25417
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dc.coverage.spatialInformation and Communication Engineeringen_US
dc.date.accessioned2014-09-23T06:54:44Z-
dc.date.available2014-09-23T06:54:44Z-
dc.date.issued2014-09-23-
dc.identifier.urihttp://hdl.handle.net/10603/25417-
dc.description.abstractEvery day a huge amount of digital information is stored newlineprocessed and transmitted on internet Most of the on line information is still newlineor video picture in nature In multimedia the uncompressed still or video newlinepicture requires considerable storage capacity and occupies more transmission newlinebandwidth Due to the development in very large scale integration VLSI newlinetechnology there is a rapid progress in mass storage density processor speed newlineand digital communication system performance But the requirements for newlinedigital data storage capacity and digital data transmission bandwidth exceed newlinethe capabilities of the available technologies newlineImage compression is the art of efficiently coding the digital newlineimages to reduce the number of bits required in representing a digital image newlineThe color image compression algorithms exploit the redundancy in an image newlinesuch that the image is represented in smaller number of bits an acceptable newlinevisual quality for the decompressed image is also maintained Color image newlinecompression techniques usually reduce the redundancy between color newlinechannels The RGB color image is transformed into a de correlated color newlinespace such as YCbCr YIQ YUV etc The human visual system is more newlinesensitive to luminance details than to chrominance details Hence the newlinechrominance components are compressed at high rate newline newlineen_US
dc.format.extentxxii, 141p.en_US
dc.languageEnglishen_US
dc.relation-en_US
dc.rightsuniversityen_US
dc.titleImage compression using inter color Correlationen_US
dc.title.alternative-en_US
dc.creator.researcherSanthi, Men_US
dc.subject.keywordDigital communication systemen_US
dc.subject.keywordDigital data storage capacityen_US
dc.subject.keywordInformation and Communication engineeringen_US
dc.subject.keywordVery large scale integrationen_US
dc.description.notereference p.132-139en_US
dc.contributor.guideWahidabanu, R S Den_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.date.registeredn.d,en_US
dc.date.completed01-06-2011en_US
dc.date.awarded30-06-2011en_US
dc.format.dimensions23cmen_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File28.77 kBAdobe PDFView/Open
02_certificate.pdf713.48 kBAdobe PDFView/Open
03_abstract.pdf28.59 kBAdobe PDFView/Open
04_acknowledgement.pdf18.68 kBAdobe PDFView/Open
05_content.pdf99.44 kBAdobe PDFView/Open
06_chapter1.pdf55.46 kBAdobe PDFView/Open
07_chapter2.pdf269.47 kBAdobe PDFView/Open
08_chapter3.pdf266.71 kBAdobe PDFView/Open
09_chapter4.pdf751.71 kBAdobe PDFView/Open
10_chapter5.pdf934.18 kBAdobe PDFView/Open
11_chapter6.pdf33.94 kBAdobe PDFView/Open
12_reference.pdf50.79 kBAdobe PDFView/Open
13_publication.pdf22.88 kBAdobe PDFView/Open
14_vitae.pdf17.34 kBAdobe PDFView/Open


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