D. Napoleon, S.Sathya, M.Praneesh and M.Siva Subramanian (2012) REMOTE SENSING IMAGE COMPRESSION USING 3D-SPIHT ALGORITHM AND 3D-OWT

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REMOTE SENSING IMAGE COMPRESSION USING 3D-SPIHT ALGORITHM AND 3D-OWT

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CONTRIBUTORS:

	Author:	D. Napoleon
	Author:	S.Sathya
	Author:	M.Praneesh
	Author:	M.Siva Subramanian

JOURNAL:

International Journal on Computer Science and Engineering (IJCSE), 4(5), 899 - 908.

YEAR:

2012

PUB TYPE:

Journal Article

SUBJECT(S):

Remote Sensing Image; Image Compression; Wavelet Transform; 3D-SPIHT.

DISCIPLINE:

Engineering and Applied Sciences

HTTP:

http://www.enggjournals.com/ijcse/doc/IJCSE12-04-05-115.pdf

LANGUAGE:

English

PUB ID:

103-502-865 (Last edited on 2012/05/17 00:28:13 GMT-6)

SPONSOR(S):

ABSTRACT:
Remote Sensing is the gathering of information about a place from a distance. Such information can occur by sensors or satellite, without making any direct contact with that object. We present a new technique for the compression of remote sensing images based on wavelet transform. This transform has similar complexity as the separable wavelet transform while providing better energy compaction and staying critically sampled, which makes it a good candidate for compression application. This paper focus on compressing the remote sensing images based on 3D-OWT scheme and 3D-SPIHT algorithm. Result show that our scheme with filters performs as well and better in lossless coding systems using 3D Oriented Wavelet Transform on remote sensing images.

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