Multi-Scale DWT Approach for Image Fusion
Abstract: Multisensor data fusion has become a discipline to which more and more general formal solutions to a number of application cases are demanded. Several situations in image processing simultaneously require high spatial and high spectral information in a single image. This is important in remote sensing. However, the instruments are not capable of providing such information either by design or because of observational constraints. One possible solution for this is data fusion. The principle of image fusion using wavelets is to merge the wavelet decompositions of the two original images using fusion methods applied to approximations coefficients and details coefficients. The low-frequency content is the most important part in the image. It is what gives the image its maximum energy or information. The high-frequency content, on the other hand, imparts flavor or nuance.
Keywords: Discrete Wavelet Transform DWT, MSE, PSNR, Wrapping Index, Bias Index
How to Cite?: Shivika Grover, Deepti Garg, "Multi-Scale DWT Approach for Image Fusion", Volume 5 Issue 6, June 2016, International Journal of Science and Research (IJSR), Pages: 231-234, https://www.ijsr.net/getabstract.php?paperid=1061601, DOI: https://dx.doi.org/10.21275/1061601