Remote Sensing Image Fusion Method Based on Quantization Index Modulation and Discrete Wavelet Transform
K. Uma Maheswari1, S. Rajesh2
1K. Uma Maheswari, Assistant Professor, Department of Computer Science and Engineering, University College of Engineering Ramanathapuram (Tamil Nadu), India.
2S. Rajesh, Associate Professor, Department of Information Technology, MepcoSchlenk Engineering College, Sivakasi (Tamil Nadu), India.
Manuscript received on 29 May 2019 | Revised Manuscript received on 11 June 2019 | Manuscript Published on 22 June 2019 | PP: 744-748 | Volume-8 Issue-3S, February 2019 | Retrieval Number: C11590283S19/19©BEIESP
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Abstract: High spectral and spatial information is obtained by Digital image Fusion technique in which single image is obtained by merging same scene of two or more images. For fusing same scene of two registered Multispectral (MS) and panchromatic (PAN) image with minimum errors we suggested a new remote sensing fusion process using Quantization Index Modulation (QIM) and Discrete Wavelet Transform (DWT). Quantization Index Modulation and Discrete Wavelet Transform used to performing Wavelet decomposition takes less computational cost when compared to earlier used various wavelet decomposition techniques. The DWT and QIM is the most effective approach which decompose the image into 4-levels. Wavelet decomposition technique which is used for obtaining the low and high frequency sub images corresponds to approximation and the specific data of original images respectively. The sub images of high and low frequency are fused separately. To fusing the image effectively, we have selected best coefficients using Euclidean Distance formula. Thus, the coefficient with minimal distance is attaining the high priority than the other coefficients. Final fused image is reconstructed by inverse DWT. The QIM+DWT fusion technique performs better when compared to other conventional fusion techniques such as IHS, DWT and PCA which is inferred from our investigational result.
Keywords: Discrete Wavelet Transform (DWT), Image Fusion, Multi Spectral, Quantization Index Modulation (QIM).
Scope of the Article: Remote Sensing