IJBTT

Fixed Predictor Polynomial Coding for 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 Murooj A.Dagher
	DOI :  10.14445/22315381/IJETT-V61P230

Citation 

MLA Style: Ghadah Al-Khafaji and Murooj A.Dagher "Fixed Predictor Polynomial Coding for Image Compression" International Journal of Engineering Trends and Technology 61.3 (2018): 182-189.

APA Style:Ghadah Al-Khafaji and Murooj A.Dagher (2018). Fixed Predictor Polynomial Coding for Image Compression. International Journal of Engineering Trends and Technology, 61(3), 182-189.

Abstract
In this paper, various causal one/two dimensional fixed predictor models adapted to exploits the spatial redundancy efficiently along with utilizing the polynomial coding technique. The results compare between different predictor models performance that measured in terms of quality (PSNR) and compression ratio that directly effect by the predictor model exploits, and implicitly with image details or characteristics.

Reference
[1] Abdulah, A. Al-H. 2018. Hierarchal Polynomial Coding of Grayscale Lossless Image Compression. Diploma, Dissertation, Baghdad University, Collage of Science.
[2] Ghadah, Al-K. 2012. Intra and Inter Frame Compression for Video Streaming, Ph.D. Thesis, Dept. Computer Science.
[3] Rasha, Al-T. 2015. Intra Frame Compression Using Adaptive Polynomial Coding .MSc. thesis, Baghdad University, Collage of Science.
[4] Noor, S. M. 2015. Image Compression based on Adaptive Polynomial Coding. Diploma, Dissertation, Baghdad University, Collage of Science.
[5] George, L. E., and Ghadah, Al-K. 2015. Image Compression based on Non-Linear Polynomial Prediction Model. International Journal of Computer Science and Mobile Computing, 4(8), 91-97.
[6] Maha, A. Rajab, Ghadah, Al-K., and Ahmed, I. A. 2016. Hybrid Image Compression and Transmitted using MC-CDMA System. Iraqi Journal of Science, 57(3A), 1819-1832
[7] Ghadah, Al-K., Taha, M., and Salam, A. 2017. Correlated Hierarchal Autoregressive Models Image Compression. Diyala Journal for Pure Sciences. 13(3), 1-14.
[8] Ghadah, Al-K., and Noor, E. 2017. Medical Image Compression using Hybrid Technique of Wavelet Transformation and Seed Selective Predictive Method. International Journal of Engineering Research and Advanced Technology, 3(9), 1-7.
[9] Ghadah, Al-K. 2013. Image Compression based on Quadtree and Polynomial. International Journal of Computer Applications, 76(3),31-37.
[10] 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.
[11] 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.
[12] Ghadah, Al-K., and Maha, A. 2016. Lossless and Lossy Polynomial Image Compression. IOSR Journal of Computer Engineering (ISO-JCE), 18(4), 56-62.
[13] 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.
[14] Ghadah, Al-K,. and Sara, A. 2017. The Use of First Order Polynomial with Double Scalar Quantization for Image Compression. International Journal of Engineering Research and Advanced Technology, 3(6), 32-42.
[15] 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.

Keywords
Image compression, fixed predictors and polynomial coding.