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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Aggarwal, Raman | - |
dc.date.accessioned | 2014-11-19T07:29:44Z | - |
dc.date.available | 2014-11-19T07:29:44Z | - |
dc.date.issued | 1995 | - |
dc.identifier | M.Tech | en_US |
dc.identifier.uri | http://hdl.handle.net/123456789/9338 | - |
dc.guide | Kumar, Arun | - |
dc.guide | Gautam, J. K. | - |
dc.description.abstract | Block truncation coding is a very robust technique for data compression. When vector quantization is applied to block truncation coding it achieves optimal rate distortion performance. In this dissertation various block truncation coding schemes and various vector quantization techniques have been discuss a d. S oftware simulation of memory less block quantizer has been done. | en_US |
dc.language.iso | en | en_US |
dc.subject | ELECTRONICS AND COMPUTER ENGINEERING | en_US |
dc.subject | IMAGE COMPRESSION | en_US |
dc.subject | BLOCK TRUNCATION CODING | en_US |
dc.subject | VECTOR QUANTIZATION | en_US |
dc.title | IMAGE COMPRESSION USING BLOCK TRUNCATION CODING & VECTOR QUANTIZATION | en_US |
dc.type | M.Tech Dessertation | en_US |
dc.accession.number | 246973 | en_US |
Appears in Collections: | MASTERS' THESES (E & C) |
Files in This Item:
File | Description | Size | Format | |
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ECD246973.pdf | 5.34 MB | Adobe PDF | View/Open |
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