Abstract: A computer implemented method for proofing a selected part of a graphical data input file for output to an output device by automatically adjusting at least one graphics feature in the input file to compensate for a predetermined resolution limit. The method includes identifying one or more portions in the selected part of the input file having an initial thickness less than the resolution limit, determining a set of optimal anisotropic offset parameters that will bring the one or more portions above the predetermined resolution limit with a minimal total offset value, applying an offset using the anisotropic offset parameters to modify the selected part of the input file to give the one or more portions an adjusted thickness greater than the initial thickness, and creating an output file comprising the at least one graphics feature having the adjusted thickness.

Abstract: A computer implemented method for proofing a selected part of a graphical data input file for output to an output device by automatically adjusting at least one graphics feature in the input file to compensate for a predetermined resolution limit. The method includes identifying one or more portions in the selected part of the input file having an initial thickness less than the resolution limit, determining a set of optimal anisotropic offset parameters that will bring the one or more portions above the predetermined resolution limit with a minimal total offset value, applying an offset using the anisotropic offset parameters to modify the selected part of the input file to give the one or more portions an adjusted thickness greater than the initial thickness, and creating an output file comprising the at least one graphics feature having the adjusted thickness.

Abstract: Presented is a method for identifying and removing one or more thin lines from a binary source image. The steps include generating a hole-filled intermediate binary image, and performing a thin line detection and removal process on the hole-filled intermediate binary image. The thin line detection and removal is performed by creating an eroded intermediate image, creating an opened intermediate image by performing a morphology dilation process, inverting the opened intermediate image, generating a density adjusted binary source image, generating a difference pixel intermediate image, generating a thin line subtraction intermediate image, and subtracting the thin line subtraction intermediate image from the binary source image to create a binary output image.

Abstract: Presented is a method for identifying and removing one or more thin lines from a binary source image. The steps include generating a hole-filled intermediate binary image, and performing a thin line detection and removal process on the hole-filled intermediate binary image. The thin line detection and removal is performed by creating an eroded intermediate image, creating an opened intermediate image by performing a morphology dilation process, inverting the opened intermediate image, generating a density adjusted binary source image, generating a difference pixel intermediate image, generating a thin line subtraction intermediate image, and subtracting the thin line subtraction intermediate image from the binary source image to create a binary output image.