基于模糊隶属度的图像空间距离修正插值算法

为解决传统图像插值算法存在的边缘模糊和边缘锯齿,提出了一种基于像素点模糊隶属度的图像自适应插值方法.该方法首先根据图像的梯度与相角特性,确定像素点的模糊隶属度,再根据图像的局部不对称性在一维方向上修正插值点空间距离,并将一维修正结果转化到二维图像空间,最终将修正后的空间距离应用到传统双线性插值和双立方插值中.实验结果表明,该算法改善了图像的信噪比,有效抑制了边缘锯齿和边缘模糊的发生.

Adaptive image interpolation algorithm based on the fuzzy logic

Conventional image interpolation algorithm always introduces the the blur and jagged edges. To solve this problem, an improved adaptive image interpolation algorithm with using membership function is proposed in this paper. Fuzzy logic is used to obtain the membership function with the local characteristics of the gradient and phase angle. The first step is to correct the special distance of interpolated pixels along one dimension in the basis of local asymmetry features and the membership function, and then to convert the corrected distance of one dimension into two dimensions, applying the corrected distance to conventional image interpolation algorithm. Experimental results demonstrate that the improved algorithm can produce better results in regard to the signal-to-nosie ratio and succeed in preserving interpolation image edges in various directions.