Research on energy conservation method of the image compression coding based on wavelet transform for WVSNs

This paper introduced some significant applications of aurora images, listed the main factors of choosing wavelet basis in image compression coding and analyzed the influence of aurora image compression effect caused by different wavelet basis were experimentally. The results of two kinds of significant wavelet transform algorithms EZW and SPIHT were analyzed, compared and also experimentally improved.

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A New Method of Scalable Image Compression Coding

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.380-384.3815 ◽

2013 ◽

Vol 380-384 ◽

pp. 3815-3817

Author(s):

Yan Yang

Keyword(s):

Wavelet Transform ◽

Image Compression ◽

Region Of Interest ◽

New Method ◽

Original Image ◽

High Quality ◽

Memory Space ◽

Limited Memory ◽

Compression Coding

This paper presents a new method of scalable image compression coding based on the wavelet transform. This method delimits the region of interest of the original image, and give a high-quality encoding to this region and a rough encoding to the rest. The result shows that in the limited memory space, this algorithm provides the coarser reconstruct image to satisfy the basal subject quality. Using this method, we can give a high quality encoding to the region for interest.

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Analysis of one month of CHAMP state vector and accelerometer data for the recovery of the gravity potential

Advances in Geosciences ◽

10.5194/adgeo-1-1-2003 ◽

2003 ◽

Vol 1 ◽

pp. 1-4 ◽

Cited By ~ 16

Author(s):

E. Howe ◽

L. Stenseng ◽

C. C. Tscherning

Keyword(s):

Energy Conservation ◽

Gravity Field ◽

State Vector ◽

Field Model ◽

Gravity Data ◽

Gravity Potential ◽

Accelerometer Data ◽

Gravity Field Model ◽

Energy Conservation Method ◽

Conservation Method

Abstract. The energy conservation method is based on knowledge of the state vector and measurements of nonconservative forces. This is or will be provided by CHAMP, GRACE and GOCE. Here the analysis of one month of CHAMP state vector and accelerometer data is described. The energy conservation method is used to estimate the gravity potential at satellite altitude. When doing so we consider the tidal potential from the sun and the moon, the explicit time variation of the gravity potential in inertial space and loss of energy due to external forces. Fast Spherical Collocation have been used to estimate a gravity field model to degree and order 90, UCPH2002 04. This gravity field model is compared to EGM96 and EIGEN-2. The largest differences with respect to EGM96 are found at those places where the gravity data used to determine EGM96 had the largest uncertainty. EIGEN-2 and UCPH2002 04 are similar, though there are some differences in Antarctica and Central Asia.

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