Multispectral images captured by near-infrared (NIR) filtered devices have an attractive potential for numerous applications in computer vision, robot vision, and an artificial intelligence system. Although near-infrared (NIR) filtered devices display some unseen details, but their
colors contain false colors affected main color components. Therefore, the color restoration of near-infrared (NIR) filtered images is a challenge for human perception. To overcome the challenge, the proposed method has four main steps: i) color balance with chromatic adaptation; ii) color
component switching; iii) Hue-Saturation-Lightness adjustment; and iv) image fusion using a proportional-weighing metric. The proposed results achieve to: i) restore RGB color component, ii) remove the color-overlapped effect and generate structure details close to the ground truth images;
and iii) preserve overall brightness.