Title :
Zero-order entropy in estimating bit allocation for eigenimages in PCA/wavelet compression of spectral images
Author_Institution :
Dept. of Inf. Technol., Lappeenranta Univ. of Technol., Finland
Abstract :
Zero-order entropy has been applied as a basic scheme to the bit allocation among the eigenimages after the PCA transform in the lossy compression of spectral images. In this study, we enhance this allocation scheme by a nonlinear model. The exponentiation in the model is derived from optimization. The compression/reconstruction process is unsymmetric, the compression using optimization is time-consuming, hut the reconstruction is fast. The new model proved useful and it produced from 0.5 dB to 9 dB better quality compared to the original zero-order entropy allocation with test images from three different imaging systems.
Keywords :
data compression; geophysical techniques; image coding; image reconstruction; principal component analysis; wavelet transforms; PCA transform; PCA/wavelet compression; allocation scheme; bit allocation estimation; compression process; eigenimages; imaging systems; lossy image compression; nonlinear model; optimization; reconstruction process; spectral images; zero-order entropy; Bit rate; Decoding; Decorrelation; Entropy; Image coding; Image reconstruction; Monitoring; Principal component analysis; Sensor arrays; Wavelet transforms;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1369805
