This paper presents an overview of two-dimensional image fusion methods using convolution filters and discrete wavelet transform developed by the authors. Image fusion is a process of combining two or more images of the same object into one extended composite image. It can extract features from source images and provide more information than one image. This technique can be easily used for image restoration and enhancement. In this article the authors focus on multi-exposure images, high dynamic range improvement and depth-of-field enhancement.