Abstract: A demosaicking method and apparatus for color filter array interpolation in digital image acquisition systems is provided. The method includes a data-training phase and a data-practice phase. In the data-training phase of this invention, a huge volume of image samples are received for statistical analysis and compared with their corresponding full-color images. The optimal samples are then recorded in a database. In the data-practice phase of this invention, the images of color filter array are reconstructed. The present invention not only significantly improves the image quality but also reduces undue hardware cost. Furthermore, it has an advantage of ease of hardware implementation. All the color relationships of neighboring pixels are recorded in a database for statistical analysis. The database is not limited to only one set. It is also pretty flexible, and can be adjusted or updated depending on desired applications.

Abstract: A demosaicking method and apparatus for color filter array interpolation in digital image acquisition systems is provided. The method includes a data-training phase and a data-practice phase. In the data-training phase of this invention, a huge volume of image samples are received for statistical analysis and compared with their corresponding full-color images. The optimal samples are then recorded in a database. In the data-practice phase of this invention, the images of color filter array are reconstructed. The present invention not only significantly improves the image quality but also reduces undue hardware cost. Furthermore, it has an advantage of ease of hardware implementation. All the color relationships of neighboring pixels are recorded in a database for statistical analysis. The database is not limited to only one set. It is also pretty flexible, and can be adjusted or updated depending on desired applications.