||Of the present day’s image output equipment, halftoning remains a rather crucial technology, for how it is widely adopted, in applications such as inkjet printers, handset screens, fax machines, newspapers, magazines and the like. In addition, halftoning binary images only require a minute amount of memory cache, which emerges as an advantage when it comes to network transmission that is able to recreate a close facsimile of the original image.
With dithering computation method and error diffusion method being the most widely used halftoning methods at present, between them the error diffusion method offers output that most resembles to the original graphic image, if not for a severe downfall, which lies in the need for complex computation, thus a requisite to queue for excessive computation timing. To address the above downfall, the thesis has attempted to present an innovative half-toning method – an improved block color quantization (IBCQ) method, which is of a brand-new image output processing method that does not require complex computation to be able to create a fine image output quality. When compared to the conventional halftoning method, the improved block color quantization method offers exceptional yield, whether it be in image regeneration, color resolution, image contouring, de-speckling, moiré removal and so forth, hence excelling it to be a reliable and efficient halftoning method.