In recent years wavelet image compression technology has rapidly reached its maturity, and become a method of choice for still image compression. Integer reversible wavelet transforms allow both lossless and lossy decoding using a single bitstream. We present a new fully progressive image coder and investigate the lossless and near-lossless performance of these transforms in the propose coder.
In this thesis, we studied the architecture and theories of the more and more important function, progressive transmission, in the image compression. The theory of wavelet transform is discussed and the implementation method using filter is explained. After doing wavelet transform, the codec transmit the wavelet coefficient to our proposed method call I-LOCO-I to compression.
Here, the proposed I-LOCO-I near-lossless compression is provided by a simple quantization of the image prior to lossless or near-lossless coding and with high compression ratio and has fairly good PSNR 51.6. It will first present a preview image after error correction. That compression ratio of I-LOCO-I with Doubaches 5/3 wavelet transform is better than LOCO-I about 15%. If I-LOCO-I without wavelet transform, its compression ratio can achieve 23%.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0728103-062445 |
| Date | 28 July 2003 |
| Creators | Li, Wei-Shou |
| Contributors | Wen-Shyong Hsieh, Buh-Yun sher, Lung-Jen Wang |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0728103-062445 |
| Rights | restricted, Copyright information available at source archive |
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