Garis besar topik
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Wavelet ans Multiresolution Processing
Although the Fourier transform has been the mainstay of transform-based image processing since the late 1950s, a more recent transformation, called the wavelet transform, is now making it even easier to compress, transmit, and analyze many images. Unlike the Fourier transform, whose basis functions are sinusoids, wavelet transforms are based on small waves, called wavelets, of varying frequency and limited duration.This allows them to provide the equivalent of a musical score for an image, revealing not only what notes (or frequencies) to play but also when to play them. Fourier transforms, on the other hand, provide only the notes or frequency information; temporal information is lost in the transformation process.
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Image Pyramids
A powerful, yet conceptually simple structure for representing images at more than one resolution is the image pyramid (Burt and Adelson [1983]). Originally devised for machine vision and image compression applications, an image pyramid is a collection of decreasing resolution images arranged in the shape of a pyramid.
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