Error Free Image Compression Algorithms

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dc.contributor.authorNandini, P
dc.contributor.authorSubha, S
dc.date.accessioned2016-08-23T11:37:16Z
dc.date.available2016-08-23T11:37:16Z
dc.date.issued2016-08-23T11:37:16Z
dc.description.abstractWith increasing need to store data in lesser memory several lossless compression techniques are developed. This project intends to provide the performance analysis of lossless compression techniques over various parameter like compression ratio. It provides the relevant data about variations in them as well as to describe the possible causes for it. It describes the basic lossless techniques as Huffman encoding, run length encoding, arithmetic encoding and Lempel-Ziv-Welch encoding, Lossless predictive coding , Predictive coding followed by Integer Wavelet Transform and Bit plane coding briefly with their effectiveness under varying parameters. Considering the simulation results of grayscale image compression achieved in MATLAB software, it also focused to propose the possible reasons behind differences in comparison.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/6508
dc.language.isoenen_US
dc.subjectSubha Sen_US
dc.subjectNandini Pen_US
dc.subjectError Free Image Compression Algorithmsen_US
dc.titleError Free Image Compression Algorithmsen_US
dc.typeOtheren_US
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