An Innovative Methodology for Fusing Multifocus Images using Content Adaptive Blurring and Stationary Wavelet Transform
Tapasmini Sahoo1, Kunal Kumar Das2
1Tapasmini Sahoo, Department of, Electronics and Communication, Sikha ‘O’ Anusandhan Deemed University, Bhubaneswar, India.
2Kunal Kumar Das*, Department of, Electronics and Communication, Sikha ‘O’ Anusandhan Deemed University, Bhunaneswar, India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 6125-6128 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1990109119/2019©BEIESP | DOI: 10.35940/ijeat.A1990.109119
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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: This paper depicts a stationary wavelet transformation based image fusion technique in association with content adaptive blurring. The fusion technique combines several images of the same sight or object with diverse resolution, intensity to get a combined image with more suitability for extracting features which is difficult to find from an image in various modalities. The performance and relative importance of the proposed fusion technique is investigated by some statistical evaluation measures. The values of the statistical measure suggests that the execution of the proposed strategy is appreciable. All the test and analysis compared with the different methods yields that the suggested fusion methodology successfully manages to retain the maximum content of the visual truth.
Keywords: Content adaptive blurring, Image Fusion, Multi Focus Images, Stationary wavelet transformation.