Approximated algorithm and low cost VLSI architecture for edge enhanced image scaling

Scaling on the image is to be performed if the resolution of the target device and source device is not the same. Image interpolation is obtaining the unknown pixel from the known pixels. Bilinear interpolation is a commonly used interpolation technique for scaling the image because of its low complexity. Blurring effects on the scaled image due to bilinear interpolation is reduced by adding spatial sharp filter as a prefilter. To preserve the losses of edges, adaptive edge detection is used. In this paper, an approximated algorithm and its low-cost VLSI architecture is proposed for edge enhanced image scaling. Quality of the scaled images are evaluated and found to be good and comparable to that of the existing image scaling methods. The proposed architecture requires less area when compared to the existing architectures which can scale images without compromising the quality.