Abstract: An image processing system that performs edge-enhancement on an image. The image processing system processes a region of the image at a given time. One specific pixel of an image region is compared to several surrounding pixels to determine the existence of a black edge or a white edge in the image. Additionally, the image processing system includes a classifier that determines whether the image is substantially text-like or substantially photo-like. When the image is substantially text-like, a dynamic black threshold is used to determine the existence of a black edge within the image. The dynamic black threshold is modified during the processing of the image by the image processing system as a function of the relationship between the one specific pixel to at least one other of the several surrounding pixels. The image processing system selectively applies a first threshold scheme or a second threshold scheme upon identification to the image depending on the characteristics of the one specific pixel.

Abstract: A system and method for implementing multi-level resolution conversion (MLRC) of a set of image pixels efficiently using linear interpolation. The system automatically generates equations for determining the values of output pixels in a real-time manner as a function of the input pixels and a desired resolution conversion. As the input pixel values are received, the MLRC system generates the pixel values in real-time at a rate required for the output resolution without requiring a large number of intermediate complex calculations to be stored in memory. The pixel values utilized in the equations are normalized and scaled to values within a predetermined normalization range in order to minimize the complexity of the calculations performed by the MLRC system.