Performance of Spatial Frequency Discrete Wavelet Transform Based Remote Sensing Image Fusion Algorithm
Jinju Joy1, Santhi N2, Sanil Jayamohan3, Ramar K4
1Jinju Joy, Electronics and Communication, Noorul Islam Centre for Higher Education, Kumaracoil, Kanyakumari District, Thuckalay, Tamil Nadu, India.
2Santhi N, Electronics and Communication, Noorul Islam Centre for Higher Education, Kumaracoil, Kanyakumari District, Thuckalay, Tamil Nadu, India.
3Sanil Jayamohan, Electronics and Communication, Sarabhai Institute of Science and Technology, Vellanad, Trivandrum, India.
4Ramar K, Computer Science, Muthayammal Engineering College (Autonomous), Rasipuram, Namakkal District, Tamil Nadu, India.
Manuscript received on 15 August 2019. | Revised Manuscript received on 19 August 2019. | Manuscript published on 30 September 2019. | PP: 7968-7978 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6402098319/2019©BEIESP | DOI: 10.35940/ijrte.C6402.098319
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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: The high sensor cost for producing images with superior spectral and spatial qualities in remote sensing application have led to the development of image fusion algorithms. Image fusion technique combines a Panchromatic image and a Multispectral image with an aim to produce images with excellent spatial and spectral qualities. One of the major factors that affect the performance of any image fusion algorithm is the capability of the algorithm in extracting the spatial and spectral data from the respective images and how effective the so extracted information is blended together. One of the recently developed spectral domain algorithm to perform image fusion in remote sensing applications is Spatial Frequency Discrete Wavelet Transform abbreviated as SFDWT. The excellence of SFDWT image fusion algorithm is already proven better than the prevailing algorithms based on Discrete Wavelet Transform. This paper is coined with an eye to realize the performance of SFDWT based image fusion algorithm with respect to IHS-DWT, which being an enhanced form of a typical DWT based image fusion algorithm. The performance of SFDWT and IHS-DWT based image fusion algorithms will be evaluated by applying both techniques in the fusion of urban images received from Pléiades sensors with 1:4 resolution ratio using qualitative and quantitative image quality assessment methods. The consequence of varying the decomposition level on the quality of the images produced using SFDWT image fusion technique and three variants of IHS-DWT techniques based on substitution, averaging and maximum selection will be also evaluated. From the experimental analysis done using MATLAB simulation, it will be vivid that images obtained using image fusion algorithm based on SFDWT are much better than that obtained using IHS-DWT technique with excellent spatial and spectral qualities.
Keywords: Image Fusion Algorithm, Multispectral Image, Panchromatic Image, Remote Sensing, Spatial Frequency Discrete Wavelet Transform.
Scope of the Article: High Performance Concrete