IJBTT

Polynomial Color Image Compression

	International Journal of Engineering Trends and Technology (IJETT)
	© 2018 by IJETT Journal
	Volume-61 Number-3
	Year of Publication : 2018
	Authors : Ghadah Al-Khafaji and Marwa Bassim
	DOI :  10.14445/22315381/IJETT-V61P226

Citation 

MLA Style: Ghadah Al-Khafaji and Marwa Bassim "Polynomial Color Image Compression" International Journal of Engineering Trends and Technology 61.3 (2018): 161-165.

APA Style:Ghadah Al-Khafaji and Marwa Bassim (2018). Polynomial Color Image Compression. International Journal of Engineering Trends and Technology, 61(3), 161-165.

Abstract
In this paper a color polynomial image compression scheme is suggested, it is based on utilizing the color bands of RGB color system solely along with exploiting the linear polynomial coding of variable block sizes according to the correlation embedded between bands. The test results of the suggested method are promising especially in case with mixed symbol encoder techniques compared with different symbol encoder techniques.

Reference
[1] Mohammed, M. and Ghadah, Al-K. 2013. Applied Minimized Matrix Size Algorithm on the Transformed Images by DCT and DWT used for Image Compression. International Journal of Computer Applications, 70(15), 33-40.
[2] Al-Khafaji, G. 2012. Intra and Inter Frame Compression for Video Streaming. Ph.D.thesis, Exeter University, UK.
[3] Ghadah, Al-K., Noor S. M., and Uhood Al-H. 2017. Hybrid Mixed Color Image Compression. International Journal of Engineering Research and Management, 4(6), 62-69.
[4] Ghadah, Al-K. and Noor, S. M. 2016. Image Compression based on Adaptive Polynomial Coding of Hard & Soft Thresholding. Iraqi Journal of Science, 57(2B), 1302-1307.
[5] Ghadah, Al-K., Noor S. M., and Uhood Al-H. 2016. Hybrid Color Image Compression of Hard & Soft Mixed Thresholding Techniques. International Journal of Computer Science and Mobile Computing, 5(7), 375-381.
[6] Haidar, R. S., Loay. E. G., and Ghadah, K.T. 2015. Partial Encryption for Colored Images Based on Face Detection. International Journal of Advanced Research in Computer Science and Software Engineering, 5(8), 25-35.
[7] Anitha, S. 2011. 2D Image Compression Technique-A Survey. International Journal of Scientific & Engineering Research, 2(7), 1-6.
[8] Bahi, L. R. and Kobayashi, H. 1974. Image Data Compression by Predictive Coding II: Encoding Algorithms. IBM Journal of Research and Development, 19, 172-179.
[9] Balram, N. and Moura, J. M. F. 1996. Noncausal Predictive Image Codec. IEEE Transactions on Image Processing, 5(8), 1229-1242.
[10] Barnsley, M. F. and Sloan, A. D. 1988. A Better Way to Compress Images, BYTE Magazine, 13(1), 215-223.
[11] Rasha, Al T. 2015. Intra Frame Compression Using Adaptive Polynomial Coding .MSc. thesis, Baghdad University, Collage of Science.
[12] Ghadah, Al-K. and George, L. E..2013.Fast Lossless Compression of Medical Images based on Polynomial. International Journal of Computer Applications, 70(15), 28-32.
[13] Ghadah, Al-K. 2013. Image Compression based on Quadtree and Polynomial. International Journal of Computer Applications (IJCAs), 76(3),31-37.
[14] Ghadah, Al-K. 2013. Hybrid Image Compression based on Polynomial and Block Truncation Coding. Electrical, Communication, Computer, Power, and Control Engineering (ICECCPCE), 2013, International Conference on Mosul, IEEE.
[15] Ghadah, Al-K., and Maha, A. 2016. Lossless and Lossy Polynomial Image Compression. IOSR Journal of Computer Engineering (ISO JCE),18(4), 56-62.
[16] Ghadah, Al-K and Hazeem, Al-K, 2014. Medical Image Compression using Wavelet Quadrants of Polynomial Prediction Coding & Bit Plane Slicing. International Journal of Advanced Research in Computer Science and Software Engineering, 4(6), 32-36.
[17] Ghadah, Al-K. and Rafaa, Y. 2017. Lossy Image Compression Using Wavelet Transform, Polynomial Prediction and Block Truncation Coding. IOSR Journal of Computer Engineering (IOSR-JCE), 19(4),34-38.
[18] Al-Khafaji, G., Mahdi, N., and Al-Hassani, U. 2016. Hybrid Color Image Compression of Hard & Soft Mixed Thresholding Techniques. International Journal of Computer Science and Mobile Computing, 5(7), 375-381.
[19] Shi, Y. Q. and Sun, H. 2000. Image and Video Compression for Multimedia Engineering. CRC Press, London. Scientific and Engineering Research, 4(11), 1120-1125.

Keywords
Color image compression, polynomial coding, and mixed between symbol encoder techniques