Abstract: Systems and methods which provide color conversion using intelligent boundary point perturbation techniques are shown. Embodiments operate to initially select only boundary point indices for indexing data of an input color space to a color space transformation matrix representing the transformation between the input color space and an output color space. A boundary point perturbation process is applied to the initially selected boundary point indices to intelligently alter the boundary point index selections and thereby provide selection of boundary point indices having intelligent boundary point perturbation. Embodiments of the invention utilize an intelligent address generator to selectively apply constraints when indexing the input color space values to boundary points within a color look up table for transforming the input color space values to appropriate output color space values using the boundary point indices provided by the boundary point perturbation process.

Abstract: A system and method of processing an image including black text data and non-black text data are described. The system and method use a parametric analysis for discrimination of halftones, texts, and photographs. The parametric analysis provides results that track measurable image metrics without the inherent risk of errant decision making during classification. The creation of symbolic representations is intrinsically a classification process that is subject to error. It represents a fundamental departure from fuzzy logic image segmentation. In the parametric analysis, no pattern matching, no auto-correlation, no screening parameter calculation, and no conventional edge detector (such as a high pass filter) are used.

Abstract: The illustrated embodiment processes scanned image data with a resolution of 600 dpi or higher. Image detection algorithms are used to detect the probable presence of halftone image data, large text image data, small text image data and photographic image data. The image detection algorithms are designed specifically for the amount of data contained in an image with a resolution of 600 dpi or greater. Once an image has been analyzed, the illustrated embodiment provides the correspondingly appropriate image process to the scanned image.