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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jicheng An Zixing Cai Quqing Chen Zhibo Chen Jun Teng |
| Copyright Year | 2009 |
| Description | Author affiliation: Thomson Corporate Research, Beijing, China (Quqing Chen; Zhibo Chen; Jun Teng) || College of Information Science and Engineering, Central South University, Changsha, China (Jicheng An; Zixing Cai) |
| Abstract | In this paper, we propose a context-based inverse quantization and show its application in wavelet image compression. The proposed method breaks the traditional one-to-one mapping of the quantization index to reconstruction value in inverse quantization while maps an index to several different reconstruction values according to the corresponding contexts of the index. By accurate context modeling, this method can reduce the quantization distortion significantly. Since the quantization indices used for encoding is not changed, this method does not increase the encoding bit rates except the negligible overhead. |
| Starting Page | 613 |
| Ending Page | 616 |
| File Size | 727858 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424438273 |
| DOI | 10.1109/ISCAS.2009.5117823 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-24 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Quantization Image coding Image reconstruction Context modeling Bit rate Probability distribution Entropy Predistortion Educational institutions Information science |
| Content Type | Text |
| Resource Type | Article |
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