基于随机扰动技术的多级矢量量化器优化设计

A New Morphological Filter with Omnidirectional Multiple Structuring Elements

提出了一种高效的随机扰动多级矢量量化编码方案，实验证明该算法不仅能降低计算复杂度和码书存储量，而且在较高压缩比下可获得较好的图象恢复。

The morphological filtering is an effective method to restore the root signal under noisy background. A class of omnidirectional multiple structuring elements are defined in this paper. Consequently, a new morphological filter—The morphological filter with omnidirectional multiple structuring elements is proposed. A standard test image is filtered in noisy environment. The results of simulation show that the new filter performs better in noise suppressing and detail preserving.