Image Fusion-The Pioneering Technique for Real-Time Image Processing Applications

An image is a two-dimensional function that is expressed through spatial coordinates X, Y. At any pair of coordinates (x, y), the amplitude of a point is called the intensity of that pixel. Digital Image comprises a predictable number of components, each of which has a precise value at a given region. Those components are called pixels. Image Fusion is a phenomenon of transforming data from two or more images of a scenario into a single, more descriptive image taken than both of the input images, and is more appropriate for information processing. Image Fusion (IF) has been utilized in numerous application regions/areas. Remote Sensing Satellites (RSS) produce different images based on their sensory characteristics. Among those images, Panchromatic (PAN) and Multi-Spectral (MS) images are widely used in Satellite Image Fusion (SIF). The Image Fusion (IF) techniques are broadly classified as methods for the Spatial and Frequency domains. Wavelet Fusion Techniques (WFT) based on the Frequency-Domain (FD) are having applications in medical, space, and military applications. This literature delivers a study of some of the Image Fusion (IF) techniques. Remote Sensing Image (RSI) and Data Fusion (DF) seeks to merge the data acquired from sensors installed on satellites, airborne platforms, and ground-based sensors with specific spatial, spectral and temporal resolutions to produce merged data containing more accurate information than is found in each of the individual data sources.