Performance Evaluation of the Fractional Wavelet Filter: A Low-Memory Image Wavelet Transform for Multimedia Sensor Networks

Existing image wavelet transform techniques exceed the computational and memory resources of low-complexity wireless sensor nodes. In order to enable multimedia wireless sensors to use image wavelet transforms techniques to pre-process collected image sensor data, the authors introduce the fractional wavelet filter. The fractional wavelet filter computes the wavelet transform of a 256 256 grayscale image using only 16-bit fixed-point arithmetic on a micro-controller with less than 1.5 kbyte of RAM. They comprehensively evaluate the resource requirements (RAM, computational complexity and computing time) as well as image quality of the fractional wavelet filter.

Provided by: Reed Elsevier Topic: Mobility Date Added: Aug 2010 Format: PDF

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