An adaptive image interpolation algorithm for image/video processing |
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Authors: | Cheng-Soon Chuah Jin-Jang Leou |
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Affiliation: | Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan 621, Republic of China |
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Abstract: | Image interpolation is one of the key technologies in image/video processing. In this study, a new adaptive image interpolation algorithm is proposed. The objective of the proposed approach is to recover up-sampled image frames from the corresponding decimated (low-resolution) image frames. In the proposed approach, within each iteration, two proposed nonlinear filters are utilized to iteratively generate high-frequency components lost within the 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 approach are better than that by three existing interpolation approaches for comparison. |
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Keywords: | Image interpolation Image/video processing Nonlinear filter Mean-value decimation Bilinear interpolation Cubic B-spline interpolation |
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