XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Abadpour A, Kasaei S. A Novel Color Image Compression Method Using Eigenimages. Journal of Iranian Association of Electrical and Electronics Engineers. 2008; 5 (2) :49-57
URL: http://jiaeee.com/article-1-237-en.html
Abstract:   (2388 Views)

Since the birth of multi–spectral imaging techniques, there has been a tendency to consider and process this new type of data as a set of parallel gray–scale images, instead of an ensemble of an n–D realization. Although, even now, some researchers make the same assumption, it is proved that using vector geometries leads to better results. In this paper, first a method is proposed to extract the eigenimages from a color image. Then, using the energy compaction of the proposed method, a new color image compression method is proposed and analyzed. The proposed compression method, which uses vector–based operations, applies a grayscale compression algorithm on the eigenimages. Experimental results show that, at the same bandwidth, the proposed method produce 3.6dB and 1.9dB enhancement in the quality, compared to JPEG and JPEG2000, respectively.

Full-Text [PDF 726 kb]   (712 Downloads)    
Type of Article: Research | Subject: Communication
Received: 2017/02/22 | Accepted: 2017/02/22 | Published: 2017/02/22

Add your comments about this article : Your username or Email:
CAPTCHA

© 2021 All Rights Reserved | Journal of Iranian Association of Electrical and Electronics Engineers

Designed & Developed by : Yektaweb