VLSI Implementation of Image Sensor for Spatial Filtering

A low-complexity adaptive scaling algorithm is proposed for the implementation of 2-D image scaling applications. a less complexity, less memory requirement, and high performance algorithm is proposed for Very Large Scale Integration implementation of an image scaling processor. The anticipated image scaling algorithm consists of a clamp filter, spatial filter and a bilinear interpolation. The spatial and clamp filters are added as pre-filters for reducing the aliasing artifacts resulted by the bilinear interpolation. The sharpening spatial filter is added as a pre-filter to reduce the blurring effect produced by the bilinear interpolation. Furthermore, an adaptive technology is used to enhance the effect of the edge detector by adaptively selecting the input pixels of the bilinear interpolation. In addition, an algebraic manipulation and a hardware sharing techniques are used to simplify bilinear interpolation, which efficiently reduces the computing resources and silicon area in very large scale integration (VLSI).combined filter is replaced by a dynamic estimation unit to minimize the hardware cost. Compared with Previous methodologies, this work shows better performance with respect to cost and less complexity.