DocumentCode :
1975527
Title :
Optimized Rate Allocation of Hyperspectral Images in Compressed Domain Under JPEG 2000 Part 2
Author :
Attluri, Silpa ; Jayaram, Vikram ; Usevitch, Bryan
Author_Institution :
Div. of Comput. & Electr. Eng., Univ. of Texas at El Paso, TX
fYear :
0
fDate :
0-0 0
Firstpage :
228
Lastpage :
232
Abstract :
This paper studies the application of bit allocation using JPEG2000 for compressing multi-dimensional remote sensing data. Past experiments have shown that the Karhunen-Loeve transform (KLT) along with rate distortion optimal (RDO) bit allocation produces good compression performance. However, this model has the unavoidable disadvantage of paying a price in terms of implementation complexity. In this research we address this complexity problem by using the discrete wavelet transform (DWT) instead of the KLT as the decorrelator. Further, we have incorporated a mixed model (MM) to find the rate distortion curves instead of the prior method of using experimental rate distortion curves for RDO bit allocation. We compared our results to the traditional high bit rate quantizer bit allocation model based on the logarithm of variances among the bands. Our comparisons show that by using the MM-RDO bit rate allocation method result in lower mean squared error (MSE) compared to the traditional bit allocation scheme. Our approach also has an additional advantage of using DWT as a computationally efficient decorrelator when compared to the KLT
Keywords :
Karhunen-Loeve transforms; data compression; decorrelation; discrete wavelet transforms; image coding; mean square error methods; rate distortion theory; remote sensing; JPEG2000; Karhunen-Loeve transform; computationally efficient decorrelator; discrete wavelet transform; high bit rate quantizer bit allocation model; hyperspectral images; logarithm of variances; lower mean squared error; mixed model; multi-dimensional remote sensing data; optimized rate allocation; rate distortion curves; rate distortion optimal bit allocation; Bit rate; Decorrelation; Discrete wavelet transforms; Hyperspectral imaging; Hyperspectral sensors; Image coding; Karhunen-Loeve transforms; Rate-distortion; Remote sensing; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Interpretation, 2006 IEEE Southwest Symposium on
Conference_Location :
Denver, CO
Print_ISBN :
1-4244-0069-4
Type :
conf
DOI :
10.1109/SSIAI.2006.1633756
Filename :
1633756
Link To Document :
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