In this paper, a new color filter array (CFA) interpolation method for digital still cameras is introduced. Building on the computed edge-sensing map and a refined color difference model, a new correlation-correction algorithm is introduced. Due to edge-sensing interpolation mechanism and correction steps performed for each color channel, the proposed interpolation scheme is able to overcome the limitations of existing CFA based image acquisition solutions and restore color images without introducing false colors, edge blurring or visual artifacts. Moreover, the proposed method is described in a novel vector notation, which readily unifies previously developed schemes. Simulation studies indicate that the proposed method is computationally efficient and yields excellent performance, in terms of subjective and objective image quality measures, while outperforming well-known and widely used CFA interpolation methods.