Abstract: A method for processing a target pattern comprises the following steps: providing a to-be-processed image; matching the to-be-processed image is with a reference template to select at least one region of suspicion from the to-be-processed image, wherein the region suspicion comprises a target pattern and a background pattern; transforming the region of suspicion to a grayscale image; and transforming the grayscale image to an optical density image to enhance the target pattern with respect to the background pattern. A method for generating a classification system of target patterns and a method for classifying detected target patterns are also disclosed.

Abstract: A de-interlacing device and method therefor for de-interlacing an image. The image includes at least one field, which includes a plurality of pixels arranged in an M*N matrix. The de-interlacing device is for determining the brightness value of a current pixel and includes the following elements. A motion detector is for determining whether or not the current pixel is motional. An edge detector detects an edge type of the current pixel if the current pixel is motional. An edge-based de-interlacer includes a reference pixel determiner for determining a plurality of edge reference pixels having the strongest correlation with the current pixel according to the edge type, and a brightness value determiner for deriving the brightness value of the current pixel according to the edge reference pixels.

Abstract: A de-interlacing device and method therefor for de-interlacing an image. The image includes at least one field, which includes a plurality of pixels arranged in an M*N matrix. The de-interlacing device is for determining the brightness value of a current pixel and includes the following elements. A motion detector is for determining whether or not the current pixel is motional. An edge detector detects an edge type of the current pixel if the current pixel is motional. An edge-based de-interlacer includes a reference pixel determiner for determining a plurality of edge reference pixels having the strongest correlation with the current pixel according to the edge type, and a brightness value determiner for deriving the brightness value of the current pixel according to the edge reference pixels.