Abstract: Disclosed is a method for generating a basic template utilized to form a screening mask. The method includes adjusting lines per inch or minimum pattern (such as cluster size or density) of a testing template, printing the adjusted testing template by an outputting device, determining if the gray level of the printing result matches a specific gray level, and continuously adjusting the setting of the lines per inch or the minimum pattern when it does not match the specific gray level, otherwise selecting the adjusted testing template as a basic template. The basic template is optimized according to the printing ability of the outputting device, so the printing performance of the outputting device when using the screening mask formed from the basic template can also be optimized, and the minimum color points can be printed faithfully thereby avoiding dropping of the carbon powder.

Abstract: An image processing method for deriving text characteristic images from an input image includes: performing a plurality of edge detecting processes upon the input image to generate a plurality of edge images, respectively, and deriving a first text characteristic image according to the edge images. The image detecting processes include: performing a first edge detecting process upon the input image to derive a first edge image according to a first upper threshold and a first lower threshold, and performing a second edge detecting process upon the input image to derive a second edge image according to a second upper threshold and a second lower threshold.

Abstract: A method for generating a non-graphical digital image from an original digital image includes the following steps: performing edge detection to generate a third digital image, performing screen dot detection to detect the photo regions in the original digital image, detecting color regions in the original digital image, removing the photo regions and the color regions from the third digital image to generate the non-graphical digital image.

Abstract: The present invention provides a text and graphic separation method and a text enhancement method. The text and graphic separation method is used for separating texts and graphics of an image and comprises coarse classification and advanced classification. The method of the present invention also adjusts the luminance of the text to enhance the text image according to the separation result.

Abstract: An image processing method for deriving text characteristic images from an input image includes: performing a plurality of edge detecting processes upon the input image to generate a plurality of edge images, respectively, and deriving a first text characteristic image according to the edge images. The image detecting processes include: performing a first edge detecting process upon the input image to derive a first edge image according to a first upper threshold and a first lower threshold, and performing a second edge detecting process upon the input image to derive a second edge image according to a second upper threshold and a second lower threshold.

Abstract: An image processing method includes: when performing quantization processing on pixel values of an image, regarding each pixel of a plurality of pixels of the image, calculating a quantization error value of the pixel, where the quantization error value corresponds to a difference between a quantized value of the pixel after the quantization processing for the pixel and an original value of the pixel before the quantization processing for the pixel; and adjusting original values of a plurality of neighboring pixels of the pixel before the quantization processing for the neighboring pixels according to the quantization error value, a plurality of weighted values, and a plurality of random numbers, where the plurality of weighted values respectively correspond to relative locations of the plurality of neighboring pixels with respect to the pixel.

Abstract: A pixel color conversion method applied to an output device includes: providing a trainable database for storing a plurality of data values corresponding to a set of indexes for use performing pixel color conversion; regarding at least one source image, training the trainable database; and according to the plurality of data values corresponding to the set of indexes in the trainable database, converting source samples of a source image into target samples for being outputted by the output device.

Abstract: A method for generating a non-graphical digital image from an original digital image includes the following steps: performing edge detection to generate a third digital image, performing screen dot detection to detect the photo regions in the original digital image, detecting color regions in the original digital image, removing the photo regions and the color regions from the third digital image to generate the non-graphical digital image.

Abstract: The present invention provides a text and graphic separation method and a text enhancement method. The text and graphic separation method is used for separating texts and graphics of an image and comprises coarse classification and advanced classification. The method of the present invention also adjusts the luminance of the text to enhance the text image according to the separation result.

Abstract: Disclosed is a method for generating a basic template utilized to form a screening mask. The method includes adjusting lines per inch or minimum pattern (such as cluster size or density) of a testing template, printing the adjusted testing template by an outputting device, determining if the gray level of the printing result matches a specific gray level, and continuously adjusting the setting of the lines per inch or the minimum pattern when it does not match the specific gray level, otherwise selecting the adjusted testing template as a basic template. The basic template is optimized according to the printing ability of the outputting device, so the printing performance of the outputting device when using the screening mask formed from the basic template can also be optimized, and the minimum color points can be printed faithfully thereby avoiding dropping of the carbon powder.

Abstract: An image processing method includes: when performing quantization processing on pixel values of an image, regarding each pixel of a plurality of pixels of the image, calculating a quantization error value of the pixel, where the quantization error value corresponds to a difference between a quantized value of the pixel after the quantization processing for the pixel and an original value of the pixel before the quantization processing for the pixel; and adjusting original values of a plurality of neighboring pixels of the pixel before the quantization processing for the neighboring pixels according to the quantization error value, a plurality of weighted values, and a plurality of random numbers, where the plurality of weighted values respectively correspond to relative locations of the plurality of neighboring pixels with respect to the pixel.

Abstract: A random number generator, for generating random numbers, includes: a first processing module for generating at least one candidate number array comprising a plurality of candidate numbers respectively corresponding to a plurality of candidate addresses; an address generating module for generating at least one specific address according to at least one generator polynomial, where each specific address is a candidate address within the plurality of candidate addresses; and a second processing module, coupled to the first processing module and the address generating module, within the candidate number array sent from the first processing module, the second processing module selecting the candidate number(s) corresponding to the specific address as random number(s).

Abstract: A pixel color conversion method applied to an output device includes: providing a trainable database for storing a plurality of data values corresponding to a set of indexes for use performing pixel color conversion; regarding at least one source image, training the trainable database; and according to the plurality of data values corresponding to the set of indexes in the trainable database, converting source samples of a source image into target samples for being outputted by the output device.