Digital Image Compression using Karhunen-Loève Transform | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 14, Volume 10, Issue 3, September 2013, Pages 47-59 PDF (500.45 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2013.163535 | ||
| Author | ||
| Ghada Thanoon Younes | ||
| College of Computer Science and Mathematics University of Mosul, Mosul, Iraq | ||
| Abstract | ||
| In this research present the digital image compression using by Karhunen-Loève Transform (KLT), by convert a color digital image to a gray square digital image, then select the no. of eigen values and eigen vectors that can reconstruct the image, that be very near to the original image. And then calculate compression ratio and a high result reach it, after applied fidelity criteria on image produce from compression represented by (PSNR, MSE, correlation coefficient and compression ratio), and using a matlab language programming for execute this research. | ||
| Keywords | ||
| digital image; Compression; Karhunen-Loève Transform | ||
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