Perceptual quality assessment plays a vital role in the visual communication systems owing
to the existence of quality degradations introduced in various stages of visual signal …

Multi-modal medical image fusion is the process of merging multiple images from single or
multiple imaging modalities to improve the imaging quality with preserving the specific …

Multi-exposure image fusion (MEF) is considered an effective quality enhancement
technique widely adopted in consumer electronics, but little work has been dedicated to the …

We present three variants of a new quality metric for image fusion. The interest of our
metrics, which are based on an image quality index recently introduced by Wang and Bovik …

This paper presents an overview on image fusion techniques using multiresolution
decompositions. The aim is twofold:(i) to reframe the multiresolution-based fusion …

A novel approach to multiresolution signal-level image fusion is presented for accurately
transferring visual information from any number of input image signals, into a single fused …

Image fusion is a well-recognized and a conventional field of image processing. Image
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …

This paper presented a simple and efficient algorithm for multi-focus image fusion, which
used a multiresolution signal decomposition scheme called Laplacian pyramid method. The …

Multi-focus image fusion (MFIF) attempts to achieve an “all-focused” image from multiple
source images with the same scene but different focused objects. Given the lack of multi …

In this paper, a new metric for evaluating the performance of the combinative pixel-level
image fusion is defined based on an image feature measurement, ie phase congruency and …