FPGA Implementation of an Adaptive Edge Enhancement Algorithm for Video Applications

In this paper, an adaptive edge enhancement technique is proposed for two-dimensional (2-D) image scaling application. The anticipated image scaling algorithm consists of an edge detector, bilinear interpolation and sobel filter. The bilinear interpolation defines the intensity of the scaled pixel with the weighted average of the four nearest neighboring pixels, interpolated images become smooth and loss of edge information. The adaptive edge enhancement technique is used to protect the edge features effectively, to achieve better image quality and to avoid the loss edge information. The filter attempts to reduce the noise, in blurred and distorted edges which is produced by bilinear interpolation. An algebraic manipulation and hardware sharing technique are used to reduce computing resource of the bilinear interpolation. The analysis shows that edges are well preserved and interpolation artifacts (blurring) are reduced. Compared with the previous low-complexity techniques, our method performs better in terms of both quantitative evaluation and visual quality.