EZW Algorithm in Hyperspectral Image Compression
The EZW algorithm in hyperspectral image compression achieves outstanding compression ratios through wavelet-based progressive coding and bit-plane encoding techniques
Two-Dimensional Grayscale Image Processing Using Haar Wavelet Transform and EZW Algorithm
For an input two-dimensional grayscale image, this process first applies the lifting Haar wavelet transform, then compresses the wavelet coefficients using the classic EZW algorithm, and finally reconstructs the original image through inverse transformation. The implementation involves key steps including wavelet decomposition, coefficient quantization, and hierarchical encoding for efficient compression.