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Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4637
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dc.contributor.authorSengupta, Anirbanen_US
dc.contributor.authorRoy, Dipanjanen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:35:02Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:35:02Z-
dc.date.issued2018-
dc.identifier.citationSengupta, A., & Roy, D. (2018). Mathematical validation of HWT based lossless image compression. Paper presented at the Proceedings - 2017 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2017, , 2018-February 20-22. doi:10.1109/iNIS.2017.14en_US
dc.identifier.isbn9781538613566-
dc.identifier.otherEID(2-s2.0-85052376103)-
dc.identifier.urihttps://doi.org/10.1109/iNIS.2017.14-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/4637-
dc.description.abstractThis paper proposes the mathematical framework and its validation for Haar Wavelet Transformation (HWT) based lossless image compression. The complete end to end transformation functions, starting from the input image to regenerate the original image without losing any data is proposed. The validation of each function is demonstrated with example. It proofs the capability of reconstructing the original image through the proposed framework. This function can be used to design the hardware for HWT-based lossless image compression. © 2017 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceProceedings - 2017 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2017en_US
dc.subjectInformation systemsen_US
dc.subjectInformation useen_US
dc.subjectMathematical transformationsen_US
dc.subjectMetadataen_US
dc.subjectNanoelectronicsen_US
dc.subjectEnd to enden_US
dc.subjectHaar wavelet transformationen_US
dc.subjectInput imageen_US
dc.subjectLossless image compressionen_US
dc.subjectMathematical frameworksen_US
dc.subjectOriginal imagesen_US
dc.subjectTransformation functionsen_US
dc.subjectImage compressionen_US
dc.titleMathematical validation of HWT based lossless image compressionen_US
dc.typeConference Paperen_US
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