Composite techniques based color image compression

Other Title(s)

التقنياث المركبة المستنذة على ضغط الصورة الملونة

Author

Abbud, Zaynab Ibrahim

Source

Journal of Engineering

Issue

Vol. 23, Issue 3 (31 Mar. 2017), pp.80-93, 14 p.

Publisher

University of Baghdad College of Engineering

Publication Date

2017-03-31

Country of Publication

Iraq

No. of Pages

14

Main Subjects

Physics

Abstract EN

Compression for color image is now necessary for transmission and storage in the databases since the color gives a pleasing nature and natural for any object, so three composite techniques based color image compression is implemented to achieve image with high compression, no loss in original image, better performance and good image quality.

These techniques are composite stationary wavelet technique (S), composite wavelet technique (W) and composite multi-wavelet technique (M).

For the high energy sub-band of the 3rd level of each composite transform in each composite technique, the compression parameters are calculated.

The best composite transform among the 27 types is the three levels of multi-wavelet transform (MMM) in M technique which has the highest values of energy (En) and compression ratio (CR) and least values of bit per pixel (bpp), time (T) and rate distortion )R(D)).

Also the values of the compression parameters of the color image are nearly the same as the average values of the compression parameters of the three bands of the same image.

American Psychological Association (APA)

Abbud, Zaynab Ibrahim. 2017. Composite techniques based color image compression. Journal of Engineering،Vol. 23, no. 3, pp.80-93.
https://search.emarefa.net/detail/BIM-734926

Modern Language Association (MLA)

Abbud, Zaynab Ibrahim. Composite techniques based color image compression. Journal of Engineering Vol. 23, no. 3 (Mar. 2017), pp.80-93.
https://search.emarefa.net/detail/BIM-734926

American Medical Association (AMA)

Abbud, Zaynab Ibrahim. Composite techniques based color image compression. Journal of Engineering. 2017. Vol. 23, no. 3, pp.80-93.
https://search.emarefa.net/detail/BIM-734926

Data Type

Journal Articles

Language

English

Notes

Includes appendices : p. 87-93

Record ID

BIM-734926