Multispectral Image Compression with High Resolution Improved SPIHT for Testing Various Input Images

V. Bhagya Raju,*, K. Jaya Sankar**, C. D. Naidu***, Srinivas Bachu****
* Research Scholar, Department of Electronics and Communication Engineering, JNTU Hyderabad, Telangana, India.
** Professor and Head, Department of ECE , Vasavi College of Engineering, Hyderabad, Telangana, India.
*** Principal, VNR Vignana Jyothi Institute of Enineering & Technology, Hyderabad, Telangana, India.
**** Associate Professor, Department of ECE, Guru Nanak Institutions Technical Campus, Telangana, India.
Periodicity:January - March'2016

Abstract

Due to the current development of Multispectral sensor technology, the use of Multispectral images has become more and more popular in recent years in remote sensing applications. This paper exploits the spectral and spatial redundancies that exist in different bands of multispectral images and effectively compresses these redundancies by means of a lossy compression method while preserving the crucial and vital spectral information of objects that prevails in the multispectral bands. In this paper, interpolated super resolution transform based DWT with Improved SPIHT algorithm for various multispectral datasets has been proposed. The proposed algorithm, a lossy multispectral image compression method yields better performance results for PSNR and Compression Ratio with sym8 wavelet when compared with previous well-known compression methods and existing discrete wavelets.

Keywords

Keywords: Multispectral Images, DWT, ISPIHT, LIBT, LIST.

How to Cite this Article?

Raju, V.B., Sankar, K.J., Naidu, C.D., and Bachu, S. (2016). Multispectral Image Compression With High Resolution Improved Spiht For Testing Various Input Images. i-manager's Journal on Image Processing, 3(1), 20-28.

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