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.