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High order entropy-constrained residual vq for lossless compression of images
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Scales, Allen Smith, Mark J. T. Kossentini, Faouzi |
| Copyright Year | 1995 |
| Description | High order entropy coding is a powerful technique for exploiting high order statistical dependencies. However, the exponentially high complexity associated with such a method often discourages its use. In this paper, an entropy-constrained residual vector quantization method is proposed for lossless compression of images. The method consists of first quantizing the input image using a high order entropy-constrained residual vector quantizer and then coding the residual image using a first order entropy coder. The distortion measure used in the entropy-constrained optimization is essentially the first order entropy of the residual image. Experimental results show very competitive performance. |
| File Size | 447224 |
| Page Count | 4 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19970018101 |
| Archival Resource Key | ark:/13960/t84j5f23c |
| Language | English |
| Publisher Date | 1995-04-01 |
| Access Restriction | Open |
| Subject Keyword | Computer Programming And Software Coders Statistical Analysis Algorithms Vector Quantization Coding Data Compression Images Distortion Entropy Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
