文件名称：Image Denoising Via Sparse and Redundant Representations
文件大小：3.67MB
文件格式：PDF
更新时间：2022-03-18 09:21:21
denoise 降噪
一种降噪算法 Abstract—We address the image denoising problem, where zero-mean white and homogeneous Gaussian additive noise is to be removed from a given image. The approach taken is based on sparse and redundant representations over trained dictio- naries. Using the K-SVD algorithm, we obtain a dictionary that describes the image content effectively. Two training options are considered: using the corrupted image itself, or training on a corpus of high-quality image database