دورية أكاديمية
Edge detail enhancement algorithm for high-dynamic range images
| العنوان: | Edge detail enhancement algorithm for high-dynamic range images |
|---|---|
| المؤلفون: | Zhao Lanfei, Zhu Qidan |
| المصدر: | Journal of Intelligent Systems, Vol 31, Iss 1, Pp 193-206 (2022) |
| بيانات النشر: | De Gruyter, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Science LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | high dynamic image, edge enhancement, image denoising, Science, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | Existing image enhancement methods have problems of a slow data transmission and poor conversion effect, resulting in a low image-recognition rate and recognition efficiency. To solve these problems and improve the recognition accuracy and recognition efficiency of image features, this study proposes an edge detail enhancement algorithm for a high-dynamic range image. The original image is transformed by Fourier transform, and the low-frequency and high-frequency images are obtained by the frequency-domain Gaussian filtering and inverse Fourier transform. The low-frequency image is processed by the contrast limited adaptive histogram equalization, and the high-frequency image is obtained by the nonsharpening masking and gray transformation. The low-frequency enhanced and the high-frequency enhanced images are weighted and fused to enhance the edge details of the image. Finally, the experimental results show that the proposed high-dynamic range image edge detail enhancement algorithm maintains the image recognition rate of more than 80% during the practical application, and the recognition time is within 1,200 min, which enhances the image effect, improves the recognition accuracy and recognition efficiency of image characteristics, and fully meets the research requirements. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2191-026X |
| Relation: | https://doaj.org/toc/2191-026X |
| DOI: | 10.1515/jisys-2022-0008 |
| URL الوصول: | https://doaj.org/article/3283fa75158d42f8b992d9efea230c0e |
| رقم الأكسشن: | edsdoj.3283fa75158d42f8b992d9efea230c0e |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 2191026X |
|---|---|
| DOI: | 10.1515/jisys-2022-0008 |