Image fusion of remote sensing images using ADWT with ABC optimization algorithm

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Synthetic Aperture Radar (SAR) is imaging radar and it generates images in any weather condition. In fact, SAR images are high resolution images therefore to process these images in digital format compression is compulsory, but during reconstruction of these signals some part of the signal component in image will be loosed due to quantization error. Hence in this paper a new approach is proposed to reconstruct the image as near to the original image. Two SAR images are taken for implementing this technique. The quantization error will be reduced by using adaptive discrete wavelet transforms with Artificial bee colony optimization and the output signal would be reconstructed. DWT is used for image fusion which decomposes images. After optimizing the filter coefficients in DWT then the image will be reconstructed by using IDWT and the performance is measured and compared with Genetic Algorithm (GA) in terms of MSE and PSNR.

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Thrisul Kumar, J., Mallikarjuna Reddy, Y., & Prabhakara Rao, B. (2019). Image fusion of remote sensing images using ADWT with ABC optimization algorithm. International Journal of Innovative Technology and Exploring Engineering, 8(11), 3865–3869.

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