Performance Comparison of Image Processing Techniques on Various Filters
| Autor: | Ayush Sharma, Shweta Singh, Alankrita Aggarwal |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | International Journal of Security and Privacy in Pervasive Computing. 13:34-42 |
| ISSN: | 2643-7945 2643-7937 |
| DOI: | 10.4018/ijsppc.2021070103 |
| Popis: | Image processing plays a crucial role in a large number of applications including fields of medical, watermarking in images, spatial data analysis applications. When images are static, generally, users can get good performance, though processing of real-time images are dependent on various parameters like efficacy of algorithm and filtering techniques. Researchers have observed high variation in performance during processing of real-life images; therefore, efficient filtering techniques play a vital role in determining the implemented processing algorithm's performance as well as the quality of captured images taken into consideration. Thus, the focus of this study is to discuss various widely used filtering techniques and efficient performance analysis in outdoor environmental scenarios. A real-time efficiency system is made to conclude each filter type's effectiveness in different environmental conditions with comparison and evaluation, highlighting merits and demerits of different algorithms based on application needs along with external factors. |
| Databáze: | OpenAIRE |
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