Author
Abstract
In this paper, a new algorithm for accurate optical flow estimation using discrete
wavelet approximation is proposed. The image sequences are always assumed to
be noiseless in the computation of optical flow, since there is always a method that
can perform such task. One of the main application areas of the wavelet
transform is that of noise reduction in images. The basic technique is to transform
the noisy input image into a domain, in which the main signal energy is
concentrated into as few coefficients as possible, while the noise energy is
distributed more uniformly over all coefficients. The choice of the transform is
represent an important tool in optical flow estimation. In this paper, several
algorithms of 1-D, 2-D and 3-D wavelet transforms are adapted for the estimation
of optical flow for the first time.
Keywords
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