文件名称：Sparse Modeling for Image and Vision Processing
文件大小：20.92MB
文件格式：PDF
更新时间：2021-11-05 02:49:28
稀疏模型
In signal processing, sparse coding consists of representing data with linear combinations of a few dictionary elements. Subsequently, the corresponding tools have been widely adopted by several scientific communities such as neuroscience, bioinformatics, or computer vision. The goal of this monograph is to offer a self-contained view of sparse modeling for visual recognition and image processing. More specifically, we focus on applications where the dictionary is learned and adapted to data, yielding a compact representation that has been successful in various contexts.