Multispectral image fusion method using perceptual attributes

In this work a pixel-level fusion technique for enhancing the visual interpretation of multispectral images is proposed. The technique takes into consideration the inherent high correlation of the RGB bands of natural color images, a fact strictly related to the color perception attributes of the human eye. The method provides dimensionality reduction in the multispectral vector space, while the resulting RGB color image tends to be perceptually optimal. The proposed method is compared with two other existing techniques.