Methods, systems, and apparatus including computer program products for using extracted image text are provided. In one implementation, a computer-implemented method is provided. The method includes receiving an input of one or more image search terms and identifying keywords from the received one or more image search terms. The method also includes searching a collection of keywords including keywords extracted from image text, retrieving an image associated with extracted image text corresponding to one or more of the image search terms, and presenting the image.

Using extracted image text

A technique for calibrating non-reference printers to a reference printer in a network system by determining a set of four 1-D look-up tables for each non-reference printer. Each set of four 1-D look-up tables is constructed from a corresponding set of transfer functions, where each transfer function in a given set is a composite of a 1-D characteristic function for a particular primary color of the reference printer and a 1-D inverse characteristic function for that particular primary color of the corresponding non-reference printer. The characteristic functions are determined by performing a specific color space transformation analysis on each non-reference printer and on the reference printer.

Self-calibration of network copier system

A method of providing fixed computer-displayable content in response to a consumer request for content is presented. Upon obtaining a digital image corresponding to the requested content, an advertisement is selected. The advertisement is to be included in an on-demand electronic content corresponding to the requested content. The advertisement is included with the digital image corresponding to the requested content. A fixed computer-displayable content corresponding to the requested content is generated. The fixed computer-displayable content is then provided to the consumer.

On-demand generating e-book content with advertising

A method of reducing noise in an image including steps for obtaining a first value for a target pixel, obtaining a respective second value for each neighboring pixel surrounding the target pixel and having the same color as the target pixel, for each neighboring pixel, comparing a difference between said first value and said second value to a threshold value, and replacing the first value with an average value obtained from the first value and at all second values from the neighboring pixels which have an associated difference which is less than or equal to the threshold value based on a result of the comparing step.

Method and apparatus providing noise reduction while preserving edges for imagers

In one aspect, the invention features a system and method for displaying an image on an output device. The method includes creating an image having one or more separations with an imaging application thereby forming a description of the image in a page description language. The method includes processing the description of the image in the page description language thereby creating a raster for each color separation associated with the image. The method also includes selecting a subset of the rasters for proofing. The method includes creating a second page description language file including each of the selected subset of the rasters for proofing and imaging the second page description language file with an output device. The system includes a raster image processor for processing the description of the image in the page description language thereby creating a raster for each color separation associated with the image. The system also includes a preproofer for selecting a subset of the rasters for proofing, and for descreening, resizing and combining each of the subset of rasters for proofing to create a second page description language file including the descreened, resized, and combined each of the selected subset of the rasters for proofing. The system also includes a proofer for imaging the second page description language file.

System and method for proofing

A method of arbitrary image resolution conversion takes an original print ready image at a first resolution and orientation and simulates printing of that image by creating a representation of a page at a particular resolution and orientation using a suitable spot model for the reconstruction function. The image is then filtered with a low pass filter and sampled with an aperture that corresponds to the desired output. The image data, which may be definable at several bits per pixel, is then made print-ready by reducing the number of bits defining each pixel to a valid output state. The reduction step is accomplished through error diffusion methods that maintain the local area gray density level. The filtering step reduces moire in the converted image.

Apparatus and method for arbitrary binary resolution conversion

A method to detect frequency and angle of a binary halftone pattern. The method employs an exclusive-or operation which is applied locally to a region of a binary bit map and its spatially shifted version. The resulting bits from the exclusive-or operation are summed over the region. The exclusive-or operation is repeated for a range of shift values. In a halftone region, the shift at which the minimum sum occurs reflects the angle and the frequency of the halftone.

Binary halftone detection

An annular window-shaped structuring element is provided for image processing to remove speckles from a scanned image. The window-shaped structuring element is composed of two differently sized squares sharing the same geometric center-point. The pixel to be analyzed with the structuring element is at the center-point. The structuring element is used in a method to remove speckles from binary, grayscale, and/or color images by first eroding the image, detecting speckles relative to other pixels in the image, and removing declared speckles. The method may additionally include a halftoning module to protect halftone images.

Grayscale image de-speckle algorithm

A continuously variable screening tool is used to generate a unique texture pattern for every color in a multicolor image. The continuously variable screening tool allows a single colorant version of the image to be generated with less information loss than typically suffered in the multicolor to single color transformation process. The continuously variable screening tool is generated by blending patterns from a set of reference screens. The reference screens are associated with selected reference colors in, for example, a machine independent color space. A calculated screen is generated through a weighted blend of reference screens located near the arbitrary color in the machine independent color space. Typically, the weights depend on the distance the arbitrary color is from each of the reference colors. The screens consist of arrays of threshold values. Each threshold value is associated with a dot position and an image pixel. Where a pixel value exceeds the associated threshold value, provision is made to place a mark in the associated dot position. An image processor operative to carry out the method comprises a continuously variable screening tool generator. An embodiment of the image processor includes a reference screen storage device and a screen blender.

Color to black and white converter

PROBLEM TO BE SOLVED: To produce a version with a single colorant out of a multi color image in a manner of storing color information existing in the image as much as possible. SOLUTION: In an image display method, proper texture patterns are produced to each color in the multi color image by using a continuously variable screening tool, the tool is produced by a mixture pattern from a set of reference screens, the reference screens correspond to, for example, selected reference colors in a color space not depending on a machine. A calculated screen is produced by mixture with weighting the reference screens placed nearby any color in the color space not depending on the machine, and the calculated screen is composed of arrays of thresholds. Each threshold corresponds to dot positions and pixels. If the pixels are larger than the corresponding thresholds, marks are placed at the corresponding dot positions. COPYRIGHT: (C)2002,JPO

Ying-Wei Lin

Papers

Apparatus and method for arbitrary binary resolution conversion

Binary halftone detection

Grayscale image de-speckle algorithm

Color to black and white converter

Image display method and image processor