Bit Plane Slicing, Wavelet and Polynomials Mixing for Image Compression

Authors

  • Rana Talib Al-Timimi Department Banking and Financial Sciences, College of Management and Economic, Al-Mustansiriyah University, Iraq

DOI:

https://doi.org/10.24996/ijs.2019.60.11.22

Keywords:

Bit Plane Slicing, Wavelet Transform, Lossless Image Compression, Polynomial Prediction

Abstract

     This paper introduced a hybrid technique for lossless image compression of natural and medical images; it is based on integrating the bit plane slicing and Wavelet transform along with a mixed polynomial of linear and non linear base. The experiments showed high compression performance with fully grunted reconstruction.

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Published

2019-11-27

Issue

Section

Computer Science

How to Cite

Bit Plane Slicing, Wavelet and Polynomials Mixing for Image Compression. (2019). Iraqi Journal of Science, 60(11), 2497-2505. https://doi.org/10.24996/ijs.2019.60.11.22
Crossref
0
Scopus
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Mahdi N.S. (2024-01-01)
A Gray Scale Image Compression Using Hierarchical DWT Decomposition and Mixing Quantization Techniques. Iraqi Journal of Science, 65(10), 5770-5783.
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Al-Khafaji G.K. (2021-12-01)
Grey-level image compression using 1-d polynomial and hybrid encoding techniques. Journal of Engineering Science and Technology, 16(6), 4707-4728.
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Al-Timimi R.T. (2021-10-30)
Recursive prediction for lossless image compression. Iraqi Journal of Science, 62(10), 3697-3704.
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Sultan B.A. (2021-10-01)
Color image compression based on spatial and magnitude signal decomposition. International Journal of Electrical and Computer Engineering, 11(5), 4069-4081.

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