LAGRANGE INTERPOLATION FOR NATURAL COLOUR IMAGE DEMOSAICING

The quality of the digital image of the camera is determined by the colour demosaicing. The size and cost of the camera is reduced by a single sensor to capture the image which uses a Bayer Colour Filter Array (CFA). The captured image by the camera is the CFA image and the missing components of Red (R), Green (G), and Blue (B). The proposed system uses Lagrange interpolation in both directions to find the missing components of G. To get the whole G image, Inter Channel Correlation (ICC) is utilized. Then Colour different interpolation is employed for the reconstruction of R and B image. A fine-tuning step is designed to improve the quality. Natural images which are obtained from Kodak and IMAX are used for performance analysis. The qualities of the reconstructed images are validated in terms of Peak Signal to Noise Ratio (PSNR). The comparative analysis with the state-of-the-art approaches in the literature shows that the Lagrange interpolation provides better quality than others.