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An Overview to Various Image Compression Techniques

Mohammad Naushad, Pravin Kshirsagar, Mohammad Burhan Published in Image Processing

IJAIS Proceedings on 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
Year of Publication: 2013
© 2012 by IJAIS Journal
10.5120/ncipet1323
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  1. Mohammad Naushad, Pravin Kshirsagar and Mohammad Burhan. Article: An overview to various image compression techniques. IJAIS Proceedings on 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013) NCIPET(1):19-23, November 2013. BibTeX

    @article{key:article,
    	author = "Mohammad Naushad and Pravin Kshirsagar and Mohammad Burhan",
    	title = "Article: An overview to various image compression techniques",
    	journal = "IJAIS Proceedings on 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)",
    	year = 2013,
    	volume = "NCIPET",
    	number = 1,
    	pages = "19-23",
    	month = "November",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

The area of image compression is applicable to various fields of image processing. On the basis of analyzing the current image compression Techniques this paper presents the hybrid technique using the discrete cosine Transform (DCT) and the discrete wavelet transform (DWT) is presented. We observe evaluation and comparative results for DCT, DWT and hybrid DWT-DCT compression techniques. Using the Power Signal to Noise Ratio (PSNR) as a measure of quality, we observe that DWT with a two-threshold method named "improved-DWT" provides a better quality of image compared to DCT and to DWT with a one-threshold method. Finally, we observe that the combination of the two techniques, named improved-DWT-DCT compression technique, showing that it yields a better performance than DCT –based JPEG in terms of PSNR.

Reference

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Keywords

Discrete Cosine Transform (DCT), discrete wavelets transform (DWT), DPCM Differential Pulse code modulation.