An Analysis of Energy Efficient Gaussian Filter Architectures

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract The high usage of the portable multimedia devices such as camera, phones etc. demanding highly compute intensive operations. Therefore, energy efficient design techniques are prime requirement to reduce the battery lifetime. To achieve energy efficient designs several approaches have been proposed. Among the various techniques, the approximate computing has emerged as the promising alternative to the conventional approaches and provides very good energy efficiency. The Gaussian filter is most commonly used the pre-processing filter before edge detection to remove the unwanted edges due to noise. Most of the existing architectures for energy efficient Gaussian filtering include approximation of kernel coefficients, change of window size, architectural modification and employing approximate arithmetic in the accurate design. This paper reviews different energy efficient filter architectures and compares them.