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6.6.3.1 One-dimensional (1-D) Wavelet Transform We use a onedimensional (1-D) case to explain the concept of multiresolution analysis. Consider the discrete signal fm at level m, which can be decomposed into the m + 1 level by convoluting it with the h (low-pass) lter to form a smooth signal fm+1, and the g (high-pass) lter to form a detailed signal fm+1 , respectively, as shown in Figure 6.11. When m = 0, it is the original signal (or in the case of 2-D, it is the original image to be compressed). This can be implemented in the following equations using the pyramidal algorithm suggested by Mallet: fm+1 (n) = asp.net code 128 reader C# Code 128 Reader SDK to read, scan Code 128 in C#.NET class ...
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