Abstract:
Methods and devices process an electronic image of an item that has a background color and line features of a second color distinct from the background color. An electronic image and a menu option are displayed to allow the user to define at least one area of the electronic image as a distinctive color region. The electronic image is separated into different planes, and line features within the distinctive color region are removed from a second mask plane (second color) and added to a third mask plane (third color). The first plane, second mask plane, and third mask plane, are combined into an electronic file, and automatically stored.
Abstract:
The disclosed embodiments illustrate methods and systems for estimating a skew angle of an image. The method includes identifying a set of measurable blocks from one or more blocks in said image. The method further includes dilating each measurable block, in said set of measurable blocks, with a predetermined regular structure to create a set of modified measurable blocks. The method further includes selecting a second set of measurable blocks from said set of modified measurable blocks based on a size of each modified measurable block in said set of modified measurable blocks. Thereafter, the method includes determining a slope of each measurable block in said second set of measurable blocks. Further, the slope is utilizable to estimate said skew angle of said image. The method is performed by one or more microprocessors.
Abstract:
A method and an application server are provided for processing an image. The application server comprising an image processing unit processes an image by segmenting into first segmented layer and a second segmented layer. The image processing unit identifies one or more regions in the first segmented layer and for a coordinate in the identified region a vicinity check condition is performed in the second segmented layer. The image processing unit compares a first size of identified region with at least an average size of the set of text components in the second segmented layer. Further, the image processing unit merges the identified region with the second segmented layer to get a processed image.
Abstract:
A method for varying a thickness of a trap around an object in an image. The method may include selecting a first window along a border of the object. The first window includes one or more first pixels representing the object and one or more second pixels representing a background or another object. A first edge orientation direction is determined based at least partially upon a location of the one or more first pixels in the first window. A first thickness of the object is measured along the first edge orientation direction. A trap is created around the object. A first thickness of the trap proximate to the first window is varied based at least partially upon the first thickness of the object.
Abstract:
The present invention generally relates to systems and methods for error diffusion, e.g., for use in a halftone process. The described techniques are faster than known techniques in that they utilize fewer computations on average. Consequently, the described techniques can be more readily implemented in software, for example, though the described techniques are not limited to software.
Abstract:
In response to N-up instructions methods and systems analyze the sizes of printable items within full-size pages to be printed, and determine the minimum size to which each of the full-size pages can be reduced to keep all the printable items above a minimum print item or font size. Because different pages of the print/copy job can have differently sized printable items, at least two of the full-size pages can have a different minimum size to which they can be reduced. Such methods and systems automatically reduce the sizes of the full-size pages (as limited by each potentially different minimum size of each different full-size page) to produce reduced-size pages that will be combined on output pages. Again, because each different full-size page can have a different minimum size, at least two of the full-size pages can be reduced by different reduction amounts during the reduction process.
Abstract:
Methods and systems methods calculate an initial matrix by correlating scanned test device-dependent values to device-independent color space values of a test sheet. The initial matrix converts device-dependent values to device-independent color space values; however, the initial matrix does include some conversion error. Such methods then calculate an inverse matrix from the initial matrix. These methods and systems then calculate target device-dependent values by applying the device-independent color space values to the inverse matrix. The methods and systems derive final one-dimensional look-up tables that isolate the conversion error by correlating the scanned test device-dependent values to the device-independent color space values. These methods and systems then derive a final matrix specific to the scanner by first applying the scanned test device-dependent values to the final one-dimensional look-up tables before creating the final matrix. Then, this final matrix can be substituted for the previously calculated conversion matrix used for non-calibration operation.
Abstract:
The present invention generally relates to systems and methods for error diffusion, e.g., for use in a halftone process. The described techniques are faster than known techniques in that they utilize fewer computations on average. Consequently, the described techniques can be more readily implemented in software, for example, though the described techniques are not limited to software.
Abstract:
In response to N-up instructions methods and systems analyze the sizes of printable items within full-size pages to be printed, and determine the minimum size to which each of the full-size pages can be reduced to keep all the printable items above a minimum print item or font size. Because different pages of the print/copy job can have differently sized printable items, at least two of the full-size pages can have a different minimum size to which they can be reduced. Such methods and systems automatically reduce the sizes of the full-size pages (as limited by each potentially different minimum size of each different full-size page) to produce reduced-size pages that will be combined on output pages. Again, because each different full-size page can have a different minimum size, at least two of the full-size pages can be reduced by different reduction amounts during the reduction process.
Abstract:
A method, non-transitory computer readable medium, and apparatus for enabling parallel processing of pixels in an image are disclosed. For example, the method performs, via a multiple core processor, a one-dimensional error diffusion on the pixels in the image to reduce a number of bits per pixel to a value lower than an initial number of bits per pixel and greater than one, and performs a two-dimensional error diffusion on the pixels in the image that have undergone the one-dimensional error diffusion, to reduce the number of bits per pixel to one bit per pixel.