基于小波的方向自适应图像插值

图像插值是图像处理的一项重要技术，经典的插值算法会产生细节模糊和边缘锯齿现象。该文提出一种基于小波的方向自适应图像插值方法，将小波变换思想和局部方向自适应插值方法结合。为了获得清晰的细节部分，对图像实施改进的方向自适应双线性插值；结合小波方法，提高插值图像的高频细节信息，并进行相关后处理，增强视觉效果。实验结果表明，该文方法插值后的图像边缘清晰光滑，有效抑制了边缘模糊和锯齿现象，相比较传统方法，插值图像的客观质量和视觉效果都得到明显增强，更加适合人眼视觉系统。

Direction Adaptive Image Interpolation via Wavelet Transform

Image interpolation is an important technique of image processing. The blur and jaggy of image details or edges are inevitable during conventional image interpolation. In order to obtain interpolation images with better quality, the improved bilinear interpolation method with adaptive direction is applied to the image. Wavelet is implemented to provide more high frequency information, post-processing is applied to improve the visual quality of interpolation images. The experiments show that the interpolation images have much clearer edge, and much smoother along their direction. The results effectively remove the jaggy and blur at the edge. The subjective quality and visual effect of images interpolated using the proposed method have obviously improved, which is more in accord with the human visual system characteristic.