基于小波的双线性插值误差补偿算法的图像放大

为了尽可能地保持低分辨率图像的基本信息,提高图像的视觉效果和空间分辨率,本文提出一种基于小波的双线性插值误差补偿算法。该算法增加双线性插值的误差补偿项,利用Sobel算子设定插值点的边缘方向,得到初始放大图像。利用小波提取高频成分,原始图像幅值增强充当低频部分,再经过小波逆变换得到高分辨率图像。实验结果表明,相对于传统的图像放大算法,该算法考虑到全局相关性,得到更加清晰的边缘信息。

Using bilinear interpolation and wavelet transformation to zoom images based on an error-amended sharp edge algorithm

In order to preserve the basic information of low resolution images and to improve their visual effect and space resolution,a novel image zooming algorithm is proposed by using bilinear interpolation and wavelet transformation based on an error-amended sharp edge scheme.The proposed algorithm incorporates the error-amended part into the bilinear interpolation algorithm.Directions of the interpolation points are determined by the Sobel operator,then we get a preliminary zoomed image.High-frequency components are got by a wavelet transformation,and low-frequency components are replaced by the enhanced amplitude of the original image.A high-resolution image is achieved by inverse wavelet transformation.The experimental results indicate that,compared with traditional image zooming algorithms,this algorithm can get clearer and sharper edges due to considerations of global pixels correlation of the original image.