Multifocal Image Fusion Technique using Hybrid DWT-DCT

Image processing methods primarily focus upon enhancing the quality of an image and content of information present in it or a sequence of images and to derive the maximum information from input images. Image Fusion algorithm is such a technique of generating a superior quality of image from a set of available input images. It is the process of merging relevant information from two or more input images into a single fused image wherein the resulting image will be more informative as well as clear than any of the input images. Many research is being done in this field of image fusion encompassing areas of Automatic object detection, Computer Vision, parallel and distributed processing, Image processing, Robotics and remote sensing. This paper a detailed study performed over a set of image fusion algorithms regarding their implementation. Research issues in Image Fusion are to increase efficiency in term API, Standard deviation, PSNR, robustness against visual attacks and total information. Image Fusion in Wavelet transform domain has higher robustness against statistical attacks compared to image fusion in spatial domain and Discrete Cosine Transform domain. While Spatial and Discrete cosine transform technique have a PSNR better than other technique.