The Multifocal image fusion objective in visual sensor networks is to combine the multi-focused images of the same scene into a focused fused image with improved reliability and interpretation. However, the existing discrete wavelet-based fusion algorithms lead artifacts into the fused image due to its shift variance. But shift invariance is essential in image fusion during the reconstruction of the fused image without any loss. The Stationary Wavelet Transform is one of the most precious ones, eliminating shift variance caused by the discrete wavelet transform. And also focus measures are essential for the selection of focused objects in multi-focused images in order to get a fused image with every object in focus. Thus the advantages of Stationary wavelet transform and focus measures are considered for fusion in this paper. The proposed fusion method not only produces a focused fused image without artifacts and its performance is also good compared to other fusion methods.
CITATION STYLE
Radha*, N., & Babu, T. R. (2019). Hybrid Multi-Focus Image Fusion using Stationary Wavelet Transform and Focus Measures For Visual Sensor Networks. International Journal of Recent Technology and Engineering (IJRTE), 8(4), 3765–3769. https://doi.org/10.35940/ijrte.d8141.118419
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