Cost effective digital cameras use a single-image sensor, applying alternating patterns of red, green, and blue color filters to each pixel location. The problem of reconstructing a full three-color representation of color images by estimating the missing pixel components in each color plane is called demosaicking (see Figure 1 ). In this report we will examine some traditional methods of demosaicking versus some new frequency domain methods. We will discuss the Bilinear and Adaptive Bilateral algorithms, and then compare them with two newer frequency domain algorithms: the Homogeneity algorithm and the Alternating Projections algorithm.