Name
Title | ||
|---|---|---|
A Novel Image Compression Technology Based On Vector Quantisation And Linear Regression Prediction |
Abstract | ||
|---|---|---|
In the information age, a digital image is an important media for people's daily interactions. Looking to maintain the quality of the restored image, how to maximise the compression of images has become a challenging topic. Vector quantisation (VQ) compression is an easy-operating image compression method that can compress images to 1/16th of the original size. Based on VQ compresses, a novel image compression method is proposed in this paper. The proposed scheme compresses the image depending on the result of linear regression prediction which can significantly increase the compression ratio. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1080/09540091.2020.1806206 | CONNECTION SCIENCE |
Keywords | DocType | Volume |
Vector quantisation (VQ), pixel prediction, linear regression, compression ratio, image quality | Journal | 33 |
Issue | ISSN | Citations |
2 | 0954-0091 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuying Xu | 1 | 0 | 1.35 |
| Chin Chen Chang | 2 | 7849 | 725.95 |
| Yanjun Liu | 3 | 5 | 5.22 |