Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method and system for creating a summary report for an electronic document is disclosed. An input for specifying one or more sections of an electronic document is received through a graphical user interface (GUI). Further, an input for specifying a type of the summary report for the specified one or more sections is received from the GUI. Thereafter, the summary report is created based on the specified one or more sections and the specified type of the summary report.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method and system for processing image data provides associated background metadata in a searchable format and reduces file size. MRC techniques are used to process input image data. It is known that the image data may be segmented to generate a background layer representing background attributes of the input image data. A background color value of the background layer is detected, and background metadata representing the color value is generated. The background metadata is associated with the image data (e.g., as a separate file, in the image header, etc.), thereby making the background metadata searchable and reducing the file size of the image data to be stored.

Abstract: 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.

Abstract: A method for improving image quality of edge pixels, when separating an image signal into a set of image planes is provided. The method includes searching for a minimum value and a maximum value within at least one predefined neighborhood pixel window centered on a current pixel in the image signal; and conditionally switching the edge pixels to either the minimum value or the maximum value in the foreground and background planes respectively, or to a value of a specified characteristic of the current pixel, based on predetermined criteria. One such predetermined criteria for this conditional switching of the edge pixels comprises comparing the minimum or maximum luminance values in the predefined neighborhood window of the current pixel and their corresponding chrominance values to some predetermined thresholds which are characteristic of the image for the foreground and background planes, respectively.

Abstract: 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.

Abstract: 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.

Abstract: A method and system for processing image data provides associated background metadata in a searchable format and reduces file size. MRC techniques are used to process input image data. It is known that the image data may be segmented to generate a background layer representing background attributes of the input image data. A background color value of the background layer is detected, and background metadata representing the color value is generated. The background metadata is associated with the image data (e.g., as a separate file, in the image header, etc.), thereby making the background metadata searchable and reducing the file size of the image data to be stored.