Using bilinear interpolation and wavelet transformation to zoom images based on an error-amended sharp edge algorithm
Zeng Yan-ren · Laser & Infrared · 2010
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.