Image Denoising Based on Adapted Dictionary Computation
Image Denoising Based on Adapted Dictionary Computation
复制标题
DOI：
10.1109/icip.2007.4379258
复制
发表时间：
2007-11
期刊：
影响因子：
--
通讯作者：
N. Azzabou;N. Paragios;F. Guichard
中科院分区：
文献类型：
--
作者：
N. Azzabou;N. Paragios;F. Guichard
本文介绍了一种新的去噪技术，包括在恢复图像中使用的滤波功能，适合于图像内容。这种函数的定义依赖于给定邻域的像素之间的相似性的计算。我们的贡献在于定义了一个新的相似性准则，该准则对噪声更具鲁棒性。该度量是从适于图像内容的字典计算的。然后使用图像内容到该子空间的投影来定义像素与邻域像素之间的度量。非常有希望的实验结果显示了我们的方法的潜力。
This paper introduces a new denoising technique that consists in recovering the image using a filtering function adapted to the image content. The definition of such a function relies on the computation of similarity between pixels of a given neighborhood. Our contribution consists in the definition of a new similarity criterion which is more robust to noise. This measure is computed from a dictionary that is adapted to image content. The projection of the image content to this subspace are used then to define a metric between a pixel and the neighborhood ones. Very promising experimental results show the potential of our approach.