Image Compression Based on Multilevel Adaptive Thresholding using Meta-Data Heuristics
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Image Compression Based on Multilevel Adaptive Thresholding using Meta-Data Heuristics |
| 2. | Creator | Author's name, affiliation, country | Gowri Sankar Reddy D; ECE Department, S V University College of Engineering, Tirupati, Andhra Pradesh, India |
| 2. | Creator | Author's name, affiliation, country | Veera V.C. Reddy; EEE Department, S V University College of Engineering, Tirupati, Andhra Pradesh, India |
| 2. | Creator | Author's name, affiliation, country | (doi: 10.23953/cloud.ijarsg.29) |
| 3. | Subject | Discipline(s) | |
| 3. | Subject | Keyword(s) | PSNR; BPP; DN (digital numbers); Threshold |
| 4. | Description | Abstract |
Satellite image processing involves very often the need of compression. The compression of satellite images will reduce storage requirements and conserves transmission bandwidth. In this paper, a lossy image compression method is proposed based on multilevel adaptive thresholding using Meta-Data heuristics to compress the Landsat-8 satellite images. In the proposed method the number of thresholds is fixed in accordance with the bitrate required and the Peak Signal to Noise Ratio (PSNR) is improved by entropy based adaptive thresholding. Test image of Landsat-8, Band 3, 5 is used for performing the compression and the performance metric PSNR is measured for uniform thresholding and the proposed method. The proposed method gives improvement in the PSNR and the method is computationally simulated using Fixed Point Binary scaling. |
| 5. | Publisher | Organizing agency, location | |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2017-01-05 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-633 |
| 11. | Source | Journal/conference title; vol., no. (year) | International Journal of Advanced Remote Sensing and GIS; Volume 6 (Year 2017) |
| 12. | Language | English=en | en |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions |
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