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This MATLAB implementation focuses on the core Set Partitioning in Hierarchical Trees (SPIHT) algorithm without the arithmetic coding module. The implementation demonstrates wavelet-based image compression through three main components: wavelet decomposition using functions like wavedec2, significant coefficient identification through tree structure traversal, and bit-plane coding for progressive transmission. Performance evaluation compares this implementation against standard SPIHT using the lena512.raw test image, showing PSNR results at various bit rates (0.1-0.9 bpp).

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