Abstract:
A new information embedding technology is disclosed using conjugate screen concept. More specifically, two screens are applied in a halftoning process, one for the areas that corresponds to the symbol to be embedded (object), and one for the background. Both screens can be conceptually decomposed into a two-layer structure similar to supercells. The top layer determines the overall halftone texture, while the bottom layer, which is conjugate for background and object, carries embedded data. The information can be retrieved digitally or optically. In embedding, there is no restriction of the symbol sizes. The computation is relatively simple and can be implemented in real time. In retrieval, it is relatively robust to registration errors.
Abstract:
A method and system for classifying images between natural pictures and synthetic graphics is provided. In embodiments of the invention, a picture/graphic classification method and system implements edge features for image classification of natural pictures and synthetic graphics. In another embodiment of the invention, a picture/graphic combination classification method and system using edge features, color discreteness features, and SGLD texture features is used to classify images between natural picture and synthetic graphic classes
Abstract:
A method and system for image processing, in conjunction with classification of images between natural pictures and synthetic graphics, using SGLD texture (e.g., variance, bias, skewness, and fitness), color discreteness (e.g., R_L, R_U, and R_V normalized histograms), or edge features (e.g., pixels per detected edge, horizontal edges, and vertical edges) is provided. In another embodiment, a picture/graphics classifier using combinations of SGLD texture, color discreteness, and edge features is provided. In still another embodiment, a nullsoftnull image classifier using combinations of two (2) or more SGLD texture, color discreteness, and edge features is provided. The nullsoftnull classifier uses image features to classify areas of an input image in picture, graphics, or fuzzy classes.
Abstract:
A method for selecting a halftoning mode to be applied to regions within an image. The method operates on received image data to identify low-level regions within the received image data. The low-level regions are defined and separated by edges. Pixels that are not separated by edges are considered to belong to the same region. After the regions have been identified, low-level image attributes for the image data within each region are compiled. A halftoning method suited for the image data within the region can be selected based upon low-level image attributes.
Abstract:
A method of constructing a halftone screen includes selecting a frequency and screen angle of interest. A subcell having spatial vectors which satisfy the selected frequency and screen angle of interest is identified. A supercell comprising an array of the subcells is formed. An integer relationship potentially having numerous solutions exists between the supercell and the subcell. The integer relationship is solved for values of the integers and then tested against the values for the subcell spatial vectors. Although the solution may in some cases be the null set, in many cases there will be numerous solutions. Each resulting solution, if any, is then tested according to any additional constraints or tolerances specified for the particular halftone screen. If any of the resulting supercell solutions satisfies the tests, that supercell may be used to create a halftone screen.
Abstract:
A document processing system and a method for classifying an input image or region thereof as either a synthetic graphic or a natural picture, is disclosed. The system includes an image input subsystem, a processing subsystem for processing image data provided by the image input subsystem, and software/firmware means operative on the processing subsystem for a) low-pass filtering image data representative of the input image or region thereof to produce low-pass filtered pixel values; b) determining a smoothness value for each of a plurality of low-pass filtered pixel values; c) generating histogram data from the smoothness values; d) determining a texture metric for the input image or region thereof from a subset of the histogram data; and e) thresholding the texture metric to classify the input image as either a synthetic graphic or a natural picture.
Abstract:
An adaptive filtering method and apparatus for descreening a scanned halftoned image representation is disclosed. The apparatus includes an image input subsystem; a processing subsystem for processing halftoned image data provided by the image input subsystem; and software/firmware means operative on the processing subsystem for a) low-pass filtering a halftoned input pixel value provided by the image input subsystem to produce a low-pass filtered pixel value; b) notch-filtering the halftoned input pixel value to produce a notch-filtered pixel value; c) determining a local contrast value for the halftoned input pixel value; and d) producing a descreened output pixel value based on the low-pass filtered pixel value, the notch-filtered pixel value, or a combination of the low-pass filtered pixel value and the notch-filtered pixel value depending on the local contrast value.
Abstract:
An image finder method and apparatus are provided for identifying a source image data file in a database based upon a printed image actually generated from a source image data file in the database. Input image data that represent a printed input image are received from a scanner. Source image data are received from the database that is defined by a plurality of different source image data files stored on a CD-ROM or other storage medium. Correlation operations are carried out to identify any source image data files that are highly correlated with the input image data. The results of the correlation operations are used to identify the source image data file from which the input printed image was actually generated or, if this is not possible, to identify more than one source image data file that could be the source image data file from which the printed input image was actually generated. Both the input image data and source image data are severely subsampled to obtain no more than about 1000 (and most preferably no more than 200) data values from each set of data for use in the correlation operation to provide for extremely fast processing without loss of accuracy.
Abstract:
A method of editing a digital image having associated embedded data, such as printing hints, includes embedding a first watermark in the original image before the image is edited. The first watermarking scheme associates first watermark information with each pixel and is used to detect which pixels have been edited. A second watermark may be embedded in the original image according to a second watermarking scheme which associates second watermark information with non-overlapping groups of pixels in the original image. The second watermark information may be used to synchronize the first watermark information and to detect editing information which does not change pixel values. After editing, only those edited portions of the image need have their embedded data reapplied.
Abstract:
A system and method for halftoning for multi-pass rendering of an image in which different pixel locations are rendered in each pass which reduces the effects of inter-pass mis-registration errors. The method of halftoning includes restricting a substantial majority of the pixels turned on to render a tone to the minimum number of passes required to produce the tone. The halftoning method can include generating a stochastic halftone turn-on sequence and re-ordering the turn-on sequence. The halftoning method can also use error diffusion, adding a zero mean bias signal to either the image input pixels or the threshold values. The halftoning method is applicable to color or black and white rendering.