Abstract:
The present invention is a method and apparatus for processing image data to accomplish tuning or adjustment of images, so as to modify at least the darkness thereof, using compact, efficient methods and designs.
Abstract:
A method for dynamic range adjustment of image data of a captured image by determining a white point of an image. The method also involves determining a black point of the image, classifying pixels of the image, and determining an offset value for a pixel of the image based on the determined black point of the image and the determined classification of the pixel. Dynamic range adjustment of the image data is performed using the determined offset value for the pixels of the image and the determined white point of the image.
Abstract:
A method of processing an MRC image file, comprising at least a mask plane and a background plane, comprises determining that at least one of the mask plane and background plane is substantially empty; and effectively removing the substantially empty plane from the file for further processing.
Abstract:
A system and method for controlling the work flow or processing of scanned images is disclosed. The system and method identify appropriate image processing techniques, particularly techniques well-suited to enable image compression yet maintain image quality so as to facilitate the storage and transmission of scanned image data.
Abstract:
In a digital reproduction system incorporating a single pass scanner, accurate image processing results from processing a subset of grayscale image data. More specifically, scanlines that correspond to the leading edge of a document are stored and processed to detect skew and to obtain an appropriate correction. The lead edge correction is then applied to the entire grayscale image. Accordingly, the present systems and methods eliminate skew from grayscale images in real-time. The corrected image is rendered to binary and stored in electronic pre-collation memory and cropping, masking and other image editing operations can be performed on the binary image data before the image is printed.
Abstract:
This invention relates to an imaging device that extends the processing of resources to data having a greater bit-depth. A signal having data at the first bit-depth is received, and at least a portion of the data at the first bit-depth is converted into an estimated value that is at the second bit-depth. A residual that indicates a difference between the data and the estimated value is determined. The estimated value is processed through the resource to form processed data that is at the second bit-depth. The data is then substantially recovered at the first bit-depth from the processed data that is at the second bit-depth and based on the residual.
Abstract:
A method and system of manual windowing within a displayed image is disclosed, which include specifying different windows within a displayed image, assigning tags to different windows, assigning processing channels to the windows, processing the different windows on the basis of the assigned tags and assembling the different windows. A scanner is disclosed which sends image data to a manual window construction module which specifies a plurality of windows within a displayed image and which assigns specific tags to each one of the plurality of windows. According to various exemplary embodiments, the windows are processed separately and re-assembled by a processor.
Abstract:
In an image processing system, successive segmentation steps are carried out. In the case of a “hole” in the segmentation result, which is defined as a small area of one type (such as black) within a slightly larger “island” of another type (such as white), a basic segmentation technique may result in an error. The error is avoided by retaining, for each distinct area in the image, a variable indicating whether the area has been “flipped” from one type to another in a previous processing operation.
Abstract:
What is disclosed is a system and method to improve the black and white image quality of tag-based color imaging systems in a color image path by making use of the additional two channels available. The present method exploits the resources of the two un-utilized channels during black and white processing. The single channel black-and white image is replicated into all three channels at the output of the storage memory. Segmentation tags are fed into each channel to control the image processing. Additional filters, TRCs and rendering methods will be available due to processing in all the 3 channels. Resources may additionally include such things as: filters, TRC mapping, and halftoning modules. The video output from the output image processing is merged back based on the segmentation tags. Different de-screen filters with various cut-off frequencies and enhancement filters are applied to the image based on pixel classification. One example of such an application is to use different cut-off frequency filters for text-on-tint pixels and different halftone frequency pixels. The number of TRCs and halftone screens available per page has also increased by 3 times. The method also applies to any image path that has extra channels available for certain scanning/copying modes.
Abstract:
In a mixed raster content (MRC) image data format, where a separation plane is used to define portions of the image to compressed in a lossy or lossless manner, edge pixels are identified in the separation plane. Each edge pixel is modified to assume a maximum luminance and most neutral chrominance found among neighboring pixels. The modification of the edge pixel data minimizes artifacts such as fringe effects when the image data is compressed and subsequently decompressed.