Research Article
Medical Image Fusion in NSST Domain utilizing Laplacian Low Energy and Average Fusion Rule
@INPROCEEDINGS{10.4108/eai.24-3-2022.2319017, author={Naved Alam and Anil Kumar Mahto and Zeeshan Ali Haq and Syed Ali Mehdi}, title={Medical Image Fusion in NSST Domain utilizing Laplacian Low Energy and Average Fusion Rule}, proceedings={Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, 24-25 March 2022, New Delhi, India}, publisher={EAI}, proceedings_a={ICIDSSD}, year={2023}, month={5}, keywords={nsst laplacian image fusion ct mri pet}, doi={10.4108/eai.24-3-2022.2319017} }- Naved Alam
Anil Kumar Mahto
Zeeshan Ali Haq
Syed Ali Mehdi
Year: 2023
Medical Image Fusion in NSST Domain utilizing Laplacian Low Energy and Average Fusion Rule
ICIDSSD
EAI
DOI: 10.4108/eai.24-3-2022.2319017
Abstract
Digital photography is a very powerful and widely used form of communication. They represent the most complex details of the world around us in a simple, coherent, and easily accessible way. Due to the natural advances in the acquisition of devices such as bio-sensors and remote sensors, large amounts of data are available for further processing and extraction of data. In this proposed research study of Image fusion, The NSST method is applied for the decomposition of two medical Images into Low-Frequency Sub-band and High-Frequency Sub-band. Low pass frequency sub-bands are combined using an average filter and a modified Low pass sub-band is created. The modified high pass sub-band is created using intermediate high pass sub-bands with local laplacian. The final image is calculated by applying inverse NSST on Modified low pass sub-band and modified high pass sub-bands. Results are calculated that show this methodology Increases image fusion efficiency and able to remove the noise artifacts with increased information transfer rate.