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https://idr.nitk.ac.in/jspui/handle/123456789/8375Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chandrika, B.K. | - |
| dc.contributor.author | Aparna, P. | - |
| dc.contributor.author | Sumam, David S. | - |
| dc.date.accessioned | 2020-03-30T10:18:32Z | - |
| dc.date.available | 2020-03-30T10:18:32Z | - |
| dc.date.issued | 2016 | - |
| dc.identifier.citation | 2015 IEEE International WIE Conference on Electrical and Computer Engineering, WIECON-ECE 2015, 2016, Vol., , pp.280-283 | en_US |
| dc.identifier.uri | https://idr.nitk.ac.in/jspui/handle/123456789/8375 | - |
| dc.description.abstract | Visually lossless irreversible coding permit compression algorithms to improve the compression gain without disturbing the visual image quality. This paper proposes a novel coding scheme in which wavelet based visual model is embedded into lossless compression algorithm to compress the volumetric medical image data. Obtained experimental results are compared with numerically lossless compression schemes such as Differential Pulse Code Modulation (DPCM), Joint Photographic Experts Group-Lossless (JPEG-LS), JPEG-2000 and High Efficiency Video Coding (HEVC). The proposed method achieves reduced bit rate without deteriorating the visual quality of the resulting images. � 2015 IEEE. | en_US |
| dc.title | Irreversible wavelet compression of radiological images based on visual threshold | en_US |
| dc.type | Book chapter | en_US |
| Appears in Collections: | 2. Conference Papers | |
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