Comparison of Image Fusion techniques using wavelets

Image fusion plays a vital role in many fields, such as medical diagnosis, remote sensing, and robotics. Image fusion combines the necessary information from two reference images and provides a new suitable image for human and machine perception for further image-processing tasks such as feature extraction and object recognition. Wavelet transform is designed in a way that it provides good frequency for low frequency components and high temporal resolution for high frequency components. This paper represents the analysis of various image fusion techniques using wavelet transform. The results through various fusion techniques are compared.