• Ajay Kumar Gurrala
• D Rajitha

Image fusion is the technique of combining the complimentary and common elements of a series of photos to create a resulting image with greater information content from both a subjective and objective analytical standpoint. This paper presents a general image fusion framework by combining MST and SR to simultaneously overcome the inherent defects of both the MST- and SR based fusion methods. In our fusion framework, the MST is firstly performed on each of the pre-registered source images to obtain their low-pass and high-pass coefficients. Then, the low-pass bands are merged with a SR-based fusion approach while the high-pass bands are fused using the absolute values of coefficients as activity level measurement. The MST-SR is compared with the Discrete Wavelet Transform (DWT) technique. The low pass patches are Spare represented (SR) to generate the image's fused patch. To produce a single coefficients patch, the Max Absolute rule is used to the high pass patch. To generate a single fused picture, the patches from low pass and high pass fusion are joined using inverse DWT reconstruction. Various parameter settings Time elapsed, Entropy, Standard Deviation, and Mean are all calculated. Entropy is a measure of the amount of information in a system. The greater the entropy number, the more detailed the information in the image. The suggested approach has entropy of 4.22, which is much greater than the state of the art.

Image Fusion, DWT, Multi-Scale Transform, Spare Representation, Medical imagesImage Fusion, DWT, Multi-Scale Transform, Spare Representation, Medical images

"Fusion of Medical Images using Mutli-Scale Transform and Sparse Representation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.d789-d795, March-2022, Available :http://www.jetir.org/papers/JETIR2203398.pdf

"Fusion of Medical Images using Mutli-Scale Transform and Sparse Representation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppd789-d795, March-2022, Available at : http://www.jetir.org/papers/JETIR2203398.pdf