Абстрактный

Pixel Level Image Fusion using Fuzzylet Fusion Algorithm

Swathy Nair, Bindu Elias and VPS Naidu

Image fusion algorithms based on SWT (Stationary Wavelet Transform) and fuzzy logic were developed and demonstrated. It was observed that fusion using SWT with higher levels of decomposition provides better fusion results. Similarly, Fuzzy image fusion with more number of membership functions provides better results. SWT based image fusion algorithm produces better quality of fused images at the cost of execution time compared to the fuzzy logic based image fusion algorithm. A novel image fusion algorithm (Fuzzylet) had been developed by combining the features of SWT and fuzzy logic. Fuzzylet based image fusion algorithm outperformed compared to SWT and fuzzy based image fusion algorithms at the cost of execution time.

Отказ от ответственности: Этот реферат был переведен с помощью инструментов искусственного интеллекта и еще не прошел проверку или верификацию

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Академические ключи
ResearchBible
CiteFactor
Космос ЕСЛИ
РефСик
Университет Хамдарда
научный руководитель
Импакт-фактор Международного инновационного журнала (IIJIF)
Международный институт организованных исследований (I2OR)
Cosmos

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