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Advantages of using a space filling curve for computing wavelet transforms of road traffic images

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1 Author(s)
W. Pamula ; Fac. of Transp., Silesian Tech. Univ., Katowice, Poland

The properties of computing wavelet transforms of road traffic image data are discussed. It is proposed to incorporate a Hilbert scan of image data and a wavelet transform factorised into lifting steps. Scanning an image, in space filling curve order, brings together pixels that are highly correlated. This is a desirable property, because the objects of interest - vehicles - comprise a bounded set of regular patches on an image. Applying a 1-dimensional wavelet transform requires a smaller number of processing steps than a separable two-dimensional transform. Such a solution is suitable for on site microcontroller or FPGA implementation.

Published in:

Image Analysis and Processing, 2003.Proceedings. 12th International Conference on

Date of Conference:

17-19 Sept. 2003