Correlative Band Mapping for Multi Spectral Image Fusion
Shaikh Afroz Fatima Muneeruddin1, Fabiha Fathima2, Sameera Iqbal Muhammad Iqbal3
1Shaikh Afroz Fatima Muneeruddin, Department of Computer Science, College of arts and Sciences for Girls, King Khalid University, Abha, Kingdom of Saudi Arabia.
2Fabiha Fathima, Department of Information Systems, College of Arts and Sciences for girls, King Khalid University, Abha, Kingdom of Saudi Arabia.
3Sameera Iqbal Muhammad Iqbal, Department of Computer Science, College of Arts and Sciences for Girls, King Khalid University, Abha, Kingdom of Saudi Arabia.
Manuscript received on 05 February 2019 | Revised Manuscript received on 13 February 2019 | Manuscript published on 28 February 2019 | PP: 677-685 | Volume-8 Issue-4, February 2019 | Retrieval Number: D2831028419/19©BEIESP
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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 presents the process of image fusion, based on spectral correlative property. In the process of image fusion, frequency domain image fusions are more effective in coding compared to spatial domain fusion. In the process of frequency based fusion coding, wavelet approach is used in various formats to obtain spectral resolution and a fusion mapping is derived to map these resolution information. Wherein, spectral based fusion approach has higher significance of image coding accuracy, the resolution code overhead is observed. It is seen that, for larger resolution information’s, the retrieved accuracy of fusions higher, however the processing coefficients are large in count. To overcome this processing overhead issue, a new approach based on correlative band mapping approach is proposed. The evaluation result for the proposed approach illustrates a higher accuracy in fusion region prediction and mapping accuracy.
Keyword: Image Fusion, Hierarchical Modeling, Correlative Band Mapping Approach, Wavelet Coding.
Scope of the Article: Image Processing and Pattern Recognition