Vector quantization and signal compression
Vector quantization and signal compression
Ten lectures on wavelets
An introduction to wavelets
Arithmetic coding for data compression
Communications of the ACM
Minimax threshold for denoising complex signals with Waveshrink
IEEE Transactions on Signal Processing
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An important application domain of the wavelet theory is compression. In this paper, we use wavelet transforms to compress two different types of images (i) medical images (Echo image), (ii) color images, by using two different procedures. We use different types of wavelet transforms. Further, the compression ratio, the bits per pixel and the relative 2-norm difference are calculated. The quantitative measures are used to compare and contrast the performance of different wavelet transforms.