An Edge-Guided Weighted Image Interpolation Algorithm
2023 IEEE 13th International Conference on Electronics Information and Emergency Communication (ICEIEC)(2023)
Abstract
For the problem of poor performance of linear image interpolation and high complexity of nonlinear image interpolation, an edge-guided weighted image interpolation algorithm is proposed. Firstly, the edge feature of the low-resolution image is detected by the Sobel operator, and the edge strength and direction of the high-resolution image are calculated by the bilinear interpolation algorithm. Then, the warped distance of the reference pixels and weighted Lanczos kernel are calculated by the edge features of the high-resolution image. Finally, the reference pixels are weighted to obtain the resulting high-resolution image. The simulation results show that the proposed interpolation algorithm is more accurate than traditional interpolation algorithms, and the computing time of the upscaling by a factor of 2 for the
$\mathbf{256}\times \mathbf{256}$
image with the proposed algorithm is less than 50ms, which is attractive for real-time communication and image applications.
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