| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10360230 | Image and Vision Computing | 2005 | 13 Pages |
Abstract
We thus propose GATSM to solve this problem by using a set of images to train the thresholds for adapting their real practical need. Our experimental results show that the encoding time complexity of GATSM is superior to DPTSVQ based on the same image quality. In addition, we compare the image quality of GATSM with the encoding algorithm with fast comparison (EAWFC) based on the same encoding time. Comparison results show that GATSM provides better image quality than that of EAWFC.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Yuan-Hui Yu, Chin-Chen Chang, Yu-Chen Hu,