Abstract—Scaling is a complex algorithm wherein interpolation techniques are designed to achieve an optimum between factors such as efficiency and smoothness. One of these techniques is bilinear interpolation wherein the surrounding 2-by-2 source pixel values can be linearly weighed according to how close they are to the destination pixel. However, for applications in embedded systems with weak or no FPUs (floating point processors), the floating point values that arise after calculating weighted averages of the new pixel values have to be emulated. The algorithm presented to bypass floating point usage has been constructed based on the concept of resampling. It manipulates the pixels such that the fractional parts in the resulting floating numbers obtained are discrete in step, so that an optimal integer may be used to convert the floating point values to unsigned integers or signed integers by up-sampling. It has primarily been designed for scale factors, of integers which are multiples of 4 as well as the case of 2. This algorithm has been implemented in code in OpenCV and has been found to be faster and more efficient than the resize functions in OpenCV, and is therefore an alternative method to the scaling functions of the aforementioned library.