**5. Experimental setup**

The proposed algorithms are optimized using similar experimental setup as reported in (Musoromy etal., 2010) and tested on Standard Definition (SD) and High Definition (HD) images that are a mixture of colour (day) and IR (night) with varying complexity levels such as over exposure, very dark and noisy. The proposed algorithm described in Section 4 forms a unified approach to resolve problems related to the above. The algorithm is implemented in DSP using the following tools:


The implementation of Haar WT based edge detector is performed using a TI's DSP. TI provides an image library which has a unique implementation of the DWT through a highly optimised image columns transformation, which provides horizontal and vertical wavelet transform functions (TI, 2006). We apply reconstruction to the vertical and horizontal wavelet transform functions to obtain the edges.
