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Texture preserving multi frame super resolution with spatially varying image prior

机译:具有空间变化图像先验的纹理保留多帧超分辨率

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This paper proposes a new maximum a posteriori (MAP) based super-resolution (SR) image reconstruction method targeting edges and textures in images. Unlike conventional MAP based SR image reconstruction methods a spatially varying image prior is employed which is updated according to the frequency content of the reconstructed image at each iteration at different locations. Two alternative methods based on discrete cosine transforms (DCT) and Gabor filters are proposed for determining the image prior. The proposed method is validated through simulations and real experiments which clearly demonstrates significant visual improvements especially on edges and textures compared to state-of-the-art SR methods.
机译:本文提出了一种新的基于最大后验(MAP)的超分辨率(SR)图像重建方法,该方法针对图像的边缘和纹理。与传统的基于MAP的SR图像重建方法不同,采用了空间变化的图像先验,它根据重建图像在不同位置每次迭代的频率内容进行更新。提出了两种基于离散余弦变换(DCT)和Gabor滤波器的替代方法来确定图像先验。通过仿真和实际实验验证了所提出的方法,与最新的SR方法相比,该方法清楚地证明了视觉效果有了显着改善,尤其是在边缘和纹理上。

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