Stationary Wavelet Transform based Image Fusion using fusion rules
Nainavarapu Radha1, Tummala Ranga Babu2
1Nainavarapu Radha*, Department of ECE, Aditya Engineering College, Surampalem, India.
2Tummala Ranga Babu, Department of ECE, RVR & JC College of Engineering, Guntur, India.
Manuscript received on November 14, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 3045-3048 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B4110129219/2019©BEIESP | DOI: 10.35940/ijeat.B4110.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Multi focus image fusion is a current research topic in the area of image processing for visual sensor networks. Discrete wavelet transform based fusion algorithms suffer from unintended effects like smoothing of edges, loss of contrast and artifacts. To overcome these problems, Stationary Wavelet Transform based algorithm using fusion-rules is proposed and applied to multi focus images. Stationary Wavelet Transform well preserves the edges and avoid artifacts with its shift-invariance property. Entropy and spatial frequency based fusion rules in this work can effectively characterize the intensity variations in an image there by loss of contrast is minimized. Simulation results show that the proposed method can amply preserve the edges and also avoid artifacts with no loss of contrast.
Keywords: Stationary Wavelet Transform, Entropy, Image Fusion, Spatial Frequency, Fusion rules