JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
Region-Based Transform Coding of Multispectral Images
IEEE Transactions on Image Processing
Shape-adaptive discrete wavelet transforms for arbitrarily shaped visual object coding
IEEE Transactions on Circuits and Systems for Video Technology
3-D wavelet coding of video with arbitrary regions of support
IEEE Transactions on Circuits and Systems for Video Technology
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Most sensors used in Remote Sensing applications produce multicomponent images. These images may contain areas without information (no-data regions). This paper introduces a scheme composed by three main stages to encode this kind of images. The first stage is devised to exploit the spectral and spatial redundancies through the KLT and DWT. The second stage applies either the 2D-BISK, or its 3D extension (3D-BISK), or the multi-component Shape Adaptive (SA) version of JPEG2000. In the last stage, two different ratecontrol methods to combine the components' bitstreams are proposed. Experiments, performed on data from real applications, suggest that the best approach is SA KLT and SA 2D-DWT to decorrelate the spectral and spatial redundancies respectively, and a 2D coding system, followed by a rate-control method. The SNR improvement is from 5 dB to 20 dB over other strategies.