An adaptive image interpolation algorithm for image/video processing

Image interpolation is one of the key technologies in image, video processi ng. In this study, a new adaptive image interpolation algorithm is proposed . The objective of the proposed approach is to recover up-sampled image fra mes from the corresponding decimated (low-resolution) image frames. In the proposed approach. within each iteration. two proposed nonlinear filters ar e utilized to iteratively generate high-frequency components lost within th e decimation procedure, Finally, a post-processing procedure is adopted to reduce the blocking artifacts within the interpolated images. Based on the experimental results obtained in this study, in terms of the average PSNRp (peak signal-to-noise ratio) in dB and subjective measure of the quality of the interpolated images. the interpolation results by the proposed approac h are better than that by three existing interpolation approaches for compa rison. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.