球面小波的角度多选择性
Angular multiselectivity with spherical wavelets
摘要：
我们构造球面小波的基础上近似的身份是方向性的，即不是旋转不变的，并具有自适应的角度选择性。对于欧几里得空间上的信号，如何找到真实图像的不同种类的细节（从高度方向性到完全各向同性的细节）的适当表示的问题进行了相当深入的研究。然而，本文是第一次尝试处理这个任务的情况下，球形信号。一个多选择性计划，类似于$\mathbb R^2$ -功能，提出。
英文摘要：
We construct spherical wavelets based on approximate identities that are directional, i.e. not rotation-invariant, and have an adaptive angular selectivity. The problem of how to find a proper representation of distinct kinds of details of real images, ranging from highly directional to fully isotropic ones, was quite intensively studied for the case of signals over the Euclidean space. However, the present paper is the first attempt to deal with this task in the case of spherical signals. A multiselectivity scheme, similar to that proposed for $\mathbb R^2$-functions, is presented.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
