Improved image zooming algorithm based on bilinear interpolation
Yang Dong-tao
Abstract
Yang Dong-tao
Abstract
To solve traditional bilinear interpolated for the problem of blurry edge in image zooming algorithm,this paper proposes an improved algorithm.First,the algorithm calculates the interpolation point of the linear interpolation and the nearest neighbor interpolation,and then takes the four adjacent points as weight and finally makes weighted fusion the two interpolation to attaint the final interpolation result.This method not only takes into account the distance between interpolation point and neighbor point,but also thinks over the gray distribution of neighbor pixels,effectively improves definition of zoomed image.Experiment results show that the proposed algorithm is efficient.
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To solve traditional bilinear interpolated for the problem of blurry edge in image zooming algorithm,this paper proposes an improved algorithm.First,the algorithm calculates the interpolation point of the linear interpolation and the nearest neighbor interpolation,and then takes the four adjacent points as weight and finally makes weighted fusion the two interpolation to attaint the final interpolation result.This method not only takes into account the distance between interpolation point and neighbor point,but also thinks over the gray distribution of neighbor pixels,effectively improves definition of zoomed image.Experiment results show that the proposed algorithm is efficient.
Key concepts: Bilinear interpolation, Stairstep interpolation, Interpolation (computer graphics), Bicubic interpolation, Nearest-neighbor interpolation, Image scaling, Trilinear interpolation, Algorithm