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Self-adaptive Interpolation Algorithm for Digital Image

Zhou Xiaokuan

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Abstract

Bilinear and cubic convolution,the most popular interpolation algorithm for digital image,are analyzed first in the paper.Based on these two algorithms,a novel self-adaptive interpolation algorithm is proposed.In this new method,when the grayscale of each interpolated point is computed,the weights of direct and indirect neighbor pixels are self-adaptively determined by the complexity of the neighborhood of the image.The experiment results show that the algorithm is superior to the traditional interpolation algorithm.

About this research paper

What this paper is about

Bilinear and cubic convolution,the most popular interpolation algorithm for digital image,are analyzed first in the paper.Based on these two algorithms,a novel self-adaptive interpolation algorithm is proposed.In this new method,when the grayscale of each interpolated point is computed,the weights of direct and indirect neighbor pixels are self-adaptively determined by the complexity of the neighborhood of the image.The experiment results show that the algorithm is superior to the traditional interpolation algorithm.

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Available abstract

Bilinear and cubic convolution,the most popular interpolation algorithm for digital image,are analyzed first in the paper.Based on these two algorithms,a novel self-adaptive interpolation algorithm is proposed.In this new method,when the grayscale of each interpolated point is computed,the weights of direct and indirect neighbor pixels are self-adaptively determined by the complexity of the neighborhood of the image.The experiment results show that the algorithm is superior to the traditional interpolation algorithm.

Key concepts: Bilinear interpolation, Stairstep interpolation, Bicubic interpolation, Interpolation (computer graphics), Demosaicing, Image scaling, Nearest-neighbor interpolation, Algorithm

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