An Improved Image Compression Technique Using EZW and SPHIT Algorithms

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Aqeel K. Kadhim Abo Bakir S. Merchany Ameen Babakir


 Uncompressed form of the digital images are needed a very large storage capacity amount, as a consequence requires large communication bandwidth for data transmission over the network. Image compression techniques not only minimize the image storage space but also preserve the quality of image. This paper reveal image compression technique which uses distinct image coding scheme based on wavelet transform that combined effective types of compression algorithms for further compression. EZW and SPIHT algorithms are types of significant compression techniques that obtainable for lossy image compression algorithms. The EZW coding is a worthwhile and simple efficient algorithm. SPIHT is an most powerful technique that utilize for image compression depend on the concept of coding set of wavelet coefficients as zero trees. The proposed compression algorithm that combined dual image compression techniques (DICT) invest an excellent features from each methods, which then produce promising technique for still image compression through minimize bits number that required to represent the input image, to the degree allowed without significant impact on quality of reconstructed image.

The experimental results present that DICT will improve the image compression efficiency between 8 to 24%, and will result high performance of metrics values.

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How to Cite
KADHIM, Aqeel K.; MERCHANY, Abo Bakir S.; BABAKIR, Ameen. An Improved Image Compression Technique Using EZW and SPHIT Algorithms. Ibn AL- Haitham Journal For Pure and Applied Science, [S.l.], v. 32, n. 2, p. 145-155, may 2019. ISSN 2521-3407. Available at: <>. Date accessed: 07 june 2020. doi: