Image Fusion Using Contrast-Enhanced Images Captured in Low Light and Infrared

Image fusion is a sub-branch of image processing. Generally, Fusion is defined as gathering or combining required information from multiple inputs and processing it into a single valid output. The process of image fusion includes sharpening and enhancing the images and their features, also brushing up its classification. This process not only provides accurate images and user- friendly but also decreases the amount of data. In dark light environments because of low contrast level and high noise level, it was very difficult for both the human and machine intelligence to perform effectively, to overcome this we go with image fusion. Techniques involved in this image processing are namely both frequency domain and spatial domain methods. In spatial domain approaches, PCA and Max-Min techniques are mostly used. In frequency domain techniques we concentrate more on discrete wavelet transform techniques. Image fusion is applied in the fields of surveillance field, medical, security, geo-spatial, and transport fields.