Abstract:
A document processing system produces a digital representation of an original image by determining a background level for white space of the original image. Using the background level, the system identifies pixels not belonging to the white space. The system generates a binary image of the original image based from the identified pixels. The system then identifies image content surrounded by the white space in the original image using the binary image. Next, the system generates a block for each image content and extracts each block from the original image. After processing each block, the system reapplies the processed blocks to a blank canvas to generate the digital representation.
Abstract:
An image compression method includes compressing an input image with first and second compression methods to generate first and second (e.g., lossless and lossy) compressed images. First and second residual layers are generated, based on a difference between the first and second compressed images. Connected components in the residual layers are identified. Each connected component includes a group of one or more pixels that, when mapped to the second compressed image is connected, in first and second directions, to pixels in the second compressed image. A compressed image is generated, which includes, for a connected component identified in the first residual layer, removing corresponding pixels from the second compressed image, and for a connected component identified in the second residual layer, adding corresponding pixels to the second compressed image. The system and method can thus provide file size savings associated with lossy compression while avoiding character replacement.
Abstract:
A method, non-transitory computer readable medium and apparatus for generating an output image are disclosed. For example, the method includes receiving an image, applying a first filter, applying a second filter, calculating a difference between the image with the second filter that was applied and the image with the first filter that was applied and transmitting the difference to a sharpening module and a segmentation module to generate the output image.
Abstract:
Methods and systems for classifying a region of interest in an electronic document. A first region from the electronic document is extracted. The first region includes at least the region of interest. A first projection profile of pixels is determined in the region of interest. The first projection profile of pixels is indicative of a presence of a content in the region of interest. The region of interest is classified in at least one category based on a comparison of the first projection profile with a predetermined projection profile associated with the region of interest.
Abstract:
A method and system for segmenting text from non-text portions of a digital image using the size, solidity, and run length characteristics of connected components within the image data. For a connected component comprising a rectangular group of pixels enclosing a set of connected pixels having the same binary state, the size characteristic may be based on a ratio of height to width of the connected component and the total number of pixels within the connected component, the solidity characteristic may be based on a ratio of pixels within a convex hull of the set of connected pixel to a total number of pixels within the connected component, and the run length characteristic may be based on a number of transitions within the connected component.
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:
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.
Abstract:
A method, non-transitory computer readable medium, and apparatus for performing error diffusion are disclosed. For example, the method quantizes an error for a first pixel of a plurality of pixels in a first row, diffuses the error to an adjacent pixel of the plurality of pixels in the first row, performs the quantizing and the diffusing for each remaining pixel of the plurality of pixels in the first row and applies the error that is quantized for each one of the plurality of pixels the first row in a desired number of different directions in a plurality of parallel operations that is equal to the desired number of different directions.
Abstract:
Provided are black trapping methods, apparatus and systems for binary images. According to one exemplary method, black trapping color image data is performed by incorporating a set of trapping condition logical operations. Specifically, edge checking is based on estimated contone color values and density checking based on a binary bitmap.
Abstract:
A method and system for estimating continuous tone values associated with input pixels in a color image are provided. The method includes receiving binarized halftone image data representing a color image, wherein the color image has a plurality of input pixels; and estimating the continuous tone values associated with each of the input pixels by: establishing a window comprising a pixel of interest and neighboring pixels in the binarized halftone image data, wherein the window comprises a plurality of sub-windows and wherein each sub-window has a plurality of predetermined number of rows and columns of pixels; and processing the binarized halftone image data in both a process direction and a cross-process direction using the window such that the processing is performed for one of the pixels in each of the rows within the sub-window and the processing is skipped for the remaining pixels in that row of that sub-window.