Wavelet Transform based Reconstruction of Image

Image Fusion, a technique which combines complimentary information from different images of the same scene so that the fused image is more suitable for segmentation, feature extraction, object recognition and Human Visual System. In the proposed thesis work, a fast and efficient algorithm based on wavelet transform for multi-sensor image data has been proposed that could retrieve the prime features from the multi-sensor data image. The proposed paper work is aimed to develop a fast and efficient algorithm for multi-sensor image fusion based on wavelet transform. The images from multisensor sources after fusion gives more identifiable information rather than a single image from single source. The purpose of image fusion is to provide information integrated from different images, to eliminate redundancy and contradiction existed between the information, to form a clear and accurate description for the observed target, to enhance the transparency of the image information, and to improve the interpretation accuracy, reliability, and utilization of the information.