Improved Encoding of Wavelet Coefficients Extracted From Multispectral and Hyperspectral Image Data
نویسندگان
چکیده
An effective and lossy compression technique for multispectral and hyperspectral image data minimizes both the spatial and spectral correlations while preserving the spectral characteristics of the data. In this paper, we use two-dimensional wavelet transform and propose an encoding technique for wavelet coefficients. We use KroneckerProduct Gain-Shape Vector Quantization coupled with the generalized BFOS for obtaining an optimal bit-rate. Results are presented for multispectral and hyperspectral data taken from different sensors in different bands. It is shown that for a given bit-rate, the image quality is superior than other techniques designed for such image data.
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