Two-dimensional multi-scale permutation entropy algorithm based on uniform quantization
In order to solve the problem that equal values in the subsequence lead to an increase in the probability of certain ordinal patterns when extending the permutation entropy algorithm to two-dimensional domain, a two-dimensional multi-scale permutation entropy based on uniform quantization (MUPE<s...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2024-10-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024221/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | In order to solve the problem that equal values in the subsequence lead to an increase in the probability of certain ordinal patterns when extending the permutation entropy algorithm to two-dimensional domain, a two-dimensional multi-scale permutation entropy based on uniform quantization (MUPE<sub>2D</sub>) algorithm based on uniform quantization was proposed. By redefining the ordinal patterns based on uniform quantization, the effect of equal values on the calculation was eliminated. The MUPE<sub>2D</sub> algorithm was used to investigate various synthetic textures, MIX<sub>2D </sub>(<italic>p</italic>) images and encrypted images. The results reveal that MUPE<sub>2D</sub> is able to effectively quantify the complexity and information concealment capabilities of encrypted images even if there are a large number of equal values. Consequently, the MUPE<sub>2D</sub> algorithm provides an effective means for evaluating images. |
|---|---|
| ISSN: | 1000-436X |