Xerox Corporation

Amal Z Malik

Xing Li

Zhenhuan Wen

Clara Cuciurean-Zapan

Zhigang Fan

Reiner Eschbach

Basak Oztan

Ramesh Nagarajan

Francis Kapo Tse

Robert Eero Nuuja

A Graphical User Interface (GUI) is provided for facilitating modification of text colors in a digital image. In an embodiment, the GUI includes a first user interface adapted to display a selectable first set of text colors to appear in a modified digital image. In another embodiment, the GUI includes a second user interface adapted to display a selectable first set of text colors to appear in a modified digital image. In yet another embodiment, the GUI includes various options to facilitate securing of confidential data in the digital image.

Method and system for facilitating modification of text colors in digital images

Disclosed is a processor-implemented method for processing image data of a document using an apparatus. The processor determines pixel classifications and counts for each classification, classifies the image, selects a billing tier for which to bill the image, determines counts of pixels for marking to output the image (e.g., in device dependent space), and then can adjust from the selected billing tier to a different billing tier based on the image classification (e.g., and/or using determined counts of pixels for each classification and determined counts of pixels for marking). Counts of pixels can be adjusted using an offset, or calculated using a combination of the determined counts (e.g., combining counts from both independent and dependent spaces). By adjusting the tier at which to bill data, more accurate billing can be implemented for documents with contone or grayscale image data, for example, with greater customer satisfaction.

Billing method for copy path images

A processor-implemented method for processing image data of a document using an apparatus or medium. The processor determines a billable color pixel count in an image by determining a first count of color pixels in the image data in device independent space (e.g., fuzzy and true color counts using a neutral page determination) and a second count of color pixels in device dependent space (e.g., binary CMYK based count). The first and second counts are transformed and a minimum of the transformation is used as the billable count. Based on the disclosed implementation, billing accuracy for outputting color documents is improved and flexibility in tier-based billing is preserved.

Color pixel counting for tiered billing in output jobs

Disclosed embodiments relate to a method implementable on a computing device for determining color characteristics of an image. The method includes identifying one or more regions in the image based on a luminance value associated with pixels in the image. Each region comprises a set of pixels having a predefined range of luminance values. The set of pixels associated with the one or more regions are categorized into one or more predefined color categories corresponding to each of the one or more regions, based on a chroma value associated with each pixel in the set of pixels. The color characteristics of the image are determined based on a count of the categorized pixels in each of the one or more predefined color categories.

System and methods for determining color characteristics of an image

Disclosed embodiments relate to a method implementable on a computing device for modifying color characteristics of an image. The method includes identifying one or more regions in the image based on a luminance value associated with one or more pixels in the image. Each region comprises a first set of pixels having a predefined range of luminance values. The first set of pixels is categorized in a first set of predefined color categories corresponding to the each region based, at least in part, on a chroma value associated with each pixel in the first set of pixels. Each predefined color category in the first set of predefined color categories comprises a second set of pixels. The color characteristics of the second set of pixels are modified based on a region and a predefined color category associated with the second set of pixels.

Systems and methods for modifying color characteristics of an image

A method for detecting and growing isolated holes in a document image having a plurality of pixels is provided. The method includes isolating the pixels of the image to form a plurality of windows, each window having a target pixel; identifying a hole growth factor to grow an isolated hole in the received image; using the hole growth factor to identify tiered pixel patterns from a plurality of predefined, tiered pixel patterns, wherein each of the tiered pixel patterns having a predetermined hole growth factor; comparing the pixels within each window to the pixel patterns within the identified tier to identify a match between the pixels within the window and at least one of the pixel patterns; and changing a pixel value of the target pixel, when a match is identified, to grow the isolated hole by the hole growth factor.

Method and system for isolated hole detection and growth in a document image

The present disclosure relates to a method and system for processing isolated dots of an image to be printed by a printer. The method includes generating a random number, determining whether a target pixel is to be turned on and enabled for printing, determining a sum of pixels surrounding the target pixel in a plurality of pixels in a scanline of the image, the target pixel corresponding to an isolated dot in an input image, that are in an on state, the on state defined by a higher binary logic level relative to a binary logic level corresponding to a turned off pixel, determining a numerical value stored in a lookup table using the determined sum of pixels that are in the turned on state surrounding the target pixel as an index to the lookup table, and comparing the generated random number to the determined numerical value.

Dot growth system and method

A method for detecting and growing isolated dots in a document image having a plurality of pixels is provided. The method includes isolating the pixels of the image to form a plurality of windows, each window having a target pixel; detecting an isolated dot in the received image; identifying a dot growth factor to grow the detected isolated dot in the received image; using the dot growth factor to identify tiered pixel patterns from a plurality of predefined, tiered pixel patterns, wherein each of the tiered pixel patterns having a predetermined dot growth factor; comparing the pixels within each window to the pixel patterns within the identified tier to identify a match between the pixels within the window and at least one of the pixel patterns; and changing a pixel value of the target pixel, when a match is identified, to grow the isolated dot by the dot growth factor.

Method and system for isolated dot detection and growth in a document image

The present disclosure relates to a method and system for processing isolated dots of an image to be printed by a printer. The method includes detecting whether pixels corresponding to an isolated dot in the image are in an on state. A first sum of pixels that are in an on state in a first pixel ring surrounding the pixels corresponding to the isolated dot when the pixels in the isolated dot are detected to be in the on state is determined. The first sum of pixels in the first pixel ring that are in the on state is compared with a first threshold sum. A first number of pixels in at least a second pixel ring either comprising of or surrounding the pixels corresponding to the isolated dot are turned on when the first sum of pixels in the on state is less than the first threshold sum.

The present disclosure relates to a method and system for processing isolated holes in an image to be printed or displayed. The method includes detecting whether pixels corresponding to an isolated hole in the image are in an off state, determining a sum of pixels that are in an on state in a first pixel ring surrounding the pixels corresponding to the isolated hole when the one or more pixels in the isolated hole are detected to be in the off state, comparing the sum of pixels in the pixel ring that are in the on state with a threshold sum, turning off a number of pixels in at least another pixel ring either comprising of or surrounding the pixels when the first sum of pixels in the on state is greater than the threshold sum, and outputting the isolated hole including the turned off first number of pixels.

Isolated hole detection and growth

Disclosed is a processor-implemented method for processing image data representing a document using an image processing apparatus. The processor receives image data, determines the classifications and counts of pixels in the image data (e.g., in device independent space that are degrees of neutral or non-neutral), classifies the image data into a category based on the determination of classifications and counts of pixels, and determines a billing structure for the image data based on the classification of image data. The classification can be performed on the image data prior to conversion into device dependent space. For example, by counting true color, neutral, non-neutral, and fuzzy color pixels and comparing them to thresholds, the image data can be classified as neutral or very colorful. By classifying images earlier in the image path, errors in billing are reduced.

Method for image classification for copy path billing

The present disclosure relates to a method and system for processing isolated holes in an image to be printed or displayed. The method includes generating a random number lying in a finite range of numbers, determining whether a target pixel is to be turned off and enabled for printing as a hole, determining a sum of pixels surrounding a target pixel in a plurality of pixels in a scanline of the image, the target pixel corresponding to an isolated hole in an input image, that are in an on state, the on state defined by a higher binary logic level relative to a binary logic level corresponding to a turned off pixel, determining a numerical value stored in a lookup table in a memory unit coupled to the processor using the determined number of pixels that are in the turned on state surrounding the target pixel.

A method for detecting edge pixels in an image plane based on intensity and neutrality of a current pixel is provided. The method includes detecting the edge pixels in the image plane based on predetermined criteria. The predetermined criteria determining whether: (a) a difference between the maximum value and the minimum value of the specified characteristic is greater than or equal to a predetermined threshold; and (b) (i) a difference between a current value and the minimum value of the specified characteristic, or (ii) a difference between a current value and the maximum value of the specified characteristic is greater than or equal to a predetermined threshold. The predetermined thresholds are determined based on intensity and neutrality of the current pixel.

Edge detection for mixed raster content (MRC) images for improved compression and image quality

Disclosed is a processor-implemented method for processing image data comprising a plurality of pixels and system for performing the method. The method includes the following acts: determining at least one type of data represented by the plurality of pixels, determining, for each type of data, a number of pixels from the image data representing that type of data in the image data, and determining a compression scheme for compressing the image data based on a relative or absolute amount of each type of data in accordance with a predetermined scheme. The type of data may be determined by received input (e.g., user selected type and compression quality) or by analyzing its pixels and comparing it to thresholds. Basing the compression technique on the data type allows for better selection of a compression technique (e.g., MRC or JPEG), and thus greater image quality, compression ratios, and file size.

Compression scheme selection based on image data type and user selections

A method, system, and product for separating an image into a set of layers (background, foreground, and selector) and processing those layers to produce an output image of reduced size with improved compression and greater image quality. Each pixel of image data is processed based on signals produced from the set of layers and their attributes. The method includes determining values for signals being processed based on a look-up table or template, as well as changing values based on each pixel and its neighboring pixels.

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Pittsford, NY, United States of America

Amal Z Malik