التفاصيل البيبلوغرافية
| العنوان: |
Double-Constraint Inpainting Model of a Single-Depth Image |
| المؤلفون: |
Wu Jin, Li Zun, Liu Yong |
| المصدر: |
Sensors; Volume 20; Issue 6; Pages: 1797 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2020 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
depth image inpainting, variable splitting technique, low-rank constraint, nonlocal self-similarity constraint |
| الوصف: |
In real applications, obtained depth images are incomplete; therefore, depth image inpainting is studied here. A novel model that is characterised by both a low-rank structure and nonlocal self-similarity is proposed. As a double constraint, the low-rank structure and nonlocal self-similarity can fully exploit the features of single-depth images to complete the inpainting task. First, according to the characteristics of pixel values, we divide the image into blocks, and similar block groups and three-dimensional arrangements are then formed. Then, the variable splitting technique is applied to effectively divide the inpainting problem into the sub-problems of the low-rank constraint and nonlocal self-similarity constraint. Finally, different strategies are used to solve different sub-problems, resulting in greater reliability. Experiments show that the proposed algorithm attains state-of-the-art performance. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
Physical Sensors; https://dx.doi.org/10.3390/s20061797 |
| DOI: |
10.3390/s20061797 |
| الاتاحة: |
https://doi.org/10.3390/s20061797 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: |
edsbas.4AA3AA7A |
| قاعدة البيانات: |
BASE |