Color images are traditionally acquired through a color filter array (CFA), a mosaic of red (R), green (G), and blue (B) color filters affixed to the image sensor. Thus, only one color is captured at each spatial position. To reconstruct the missing colors and obtain full RGB values at every pixel location, an algorithm called demosaicking has to be applied. M. Guarnera, G. Messina, and V. Tamaselli propose a new adaptive demosaicking method for the Bayer CFA, which analyzes the local neighborhood and applies different interpolation depending on the detection and orientation of gradients. The authors also propose a false color-removal algorithm to eliminate residual color errors as a postprocessing step.