Hardware Implementation of an Image Interpolation Method with Controllable Sharpness

Abstract

This paper proposes a hardware-efficient image interpolation method that offers controllable sharpness. The method is based on an adaptive adjustment of the interpolation kernel, allowing for a smooth transition between different sharpness levels. The proposed architecture is implemented on a field-programmable gate array (FPGA) and its performance is evaluated in terms of image quality and hardware resource utilization. Experimental results demonstrate that the proposed method achieves high-quality interpolated images with a relatively low hardware cost, making it suitable for real-time image processing applications.