Discrete Wavelet Transform based V-I image fusion with Artificial Bee Colony Optimization

In this paper, a novel and enhanced image fusion procedure based on Discrete Wavelet Transform (DWT) with Artificial Bee Colony Optimization (ABC) termed as DWTopti is projected. This method is mainly based on Visual and Infrared image fusion, which is not only a very tough work to identify fine points information from a visual image because of light variation, manifestation etc, but also for infrared image, it is very energy sensitive in night. To detect or to track an object the fusion is done. The main object is to get more data from two or more data in a single one which contains maximum information from those input data. Here, for comparing the image quality of the resultant fused image with the input images Structural Similarity Index Measure (SSIM) is used and the result is compared with other standard methods of image fusion based on several conventional methods of Discrete Cosine Transform (DCT) and DWT. The result shows the strength.