POCS based adaptive image magnification

Krishna Ratakonda and Narendra Ahuja

We tackle the problem of magnifying an image without incurring blurring, ringing or other artifacts common to classical schemes. The proposed iterative scheme starts with an initial magnified image generated by a process of selective interpolation. By placing suitable constraints on the final magnified image, which are convex in nature, we show that magnification can be posed as a problem of finding a solution which lies at the intersection of convex sets. By avoiding explicit high frequency enhancing assumptions in the iterative process, we avoid edge enhancement artifacts in the magnified image.

Keywords: adaptive signal processing; image resolution; image enhancement; interpolation; iterative methods; edge detection; image reconstruction; POCS based adaptive image magnification; iterative scheme; selective interpolation; convex sets intersection; resolution enhancement; edge location; image reconstruction algorithm