TY - JOUR ID - 90 TI - A Review on Decomposition/Reconstruction methods for Fusion of Medical Images JO - International Research Journal on Advanced Science Hub JA - IRJASH LA - en SN - AU - Kaur, Harmeet AU - Kumar, Satish AD - Department of Computer Science and Applications, Panjab University, Chandigarh, India AD - Department of Computer Science and Applications, Panjab University, SSG Regional Centre Hoshiarpur, Punjab. Y1 - 2020 PY - 2020 VL - 2 IS - 8 SP - 34 EP - 40 KW - Multi-modality KW - decomposition KW - Fusion KW - Laplacian KW - Wavelet DO - 10.47392/irjash.2020.90 N2 - An image contains variety of information (in terms of frequency i.e. low and high) and to split that information into sub-parts, Decomposition of image is done so as to extract the desired features present in the image. On decomposing the image, it gets divided into sub-images. Each sub image will contain different information. The coarsest information is fetched in the decomposition phase. The aim of Fusion process is to bring out the best information from the base images. The Fusion technique is applied on the decomposed sub-images obtained from each source image. After successfully fusing the sub-images, single fused image is obtained after applying the reconstruction method on the fused sub-images UR - https://rspsciencehub.com/article_90.html L1 - https://rspsciencehub.com/article_90_994dc8aa533bf7fb005694a4868609db.pdf ER -