A method for correcting in-track position errors in a digital printing system having a linear printhead includes printing a test target including a plurality of alignment marks. A data processing system is used to automatically analyze a captured image of the printed test target to determine a measured in-track position for each of the alignment marks. The measured in-track positions for the alignment marks are compared to reference positions to determine measured in-track position errors. An in-track position correction function is determined responsive to the measured in-track position errors, wherein the in-track position correction function specifies in-track position corrections to be applied as a function of cross-track position. A corrected digital image is determined by resampling an input digital image responsive to the in-track position correction function.

An image processing apparatus includes a filtering processing unit that executes a filtering process to suppress background noise of input image data; a threshold setting unit that sets a binarization threshold for the input image data; a background noise determination threshold setting unit that determines that a tone value at which the number of pixels of background noise of the input image data reaches a peak is a background peak tone value and that sets, as a background noise determination threshold, a tone value having a density higher than a density of the background peak tone value and having a number of pixels within a specific range of percentages, of the number of pixels at the peak; a background noise reduction processing unit that executes a background noise reduction process on the input image data and a binarization processing unit that executes a binarization process on the input image data.

An image processing apparatus includes a filtering processing unit that executes a filtering process to suppress background noise of input image data; a threshold setting unit that sets a binarization threshold for the input image data; a background noise determination threshold setting unit that determines that a tone value at which the number of pixels of background noise of the input image data reaches a peak is a background peak tone value and that sets, as a background noise determination threshold, a tone value having a density higher than a density of the background peak tone value and having a number of pixels within a specific range of percentages, of the number of pixels at the peak; a background noise reduction processing unit that executes a background noise reduction process on the input image data and a binarization processing unit that executes a binarization process on the input image data.

A sensor array assembly including a first sensor array, a second sensor array and a mounting substrate. The first sensor array includes a first process direction width and a first photosite, while the second sensor array includes a second process direction width and a second photosite. The first and second sensor arrays are separately secured on the mounting substrate. The first photosite is in precision alignment with the second photosite.

A sensor array assembly including a first sensor array, a second sensor array and a mounting substrate. The first sensor array includes a first process direction width and a first photosite, while the second sensor array includes a second process direction width and a second photosite. The first and second sensor arrays are separately secured on the mounting substrate. The first photosite is in precision alignment with the second photosite.

A method of optimizing printing is applied to a printing apparatus and has following steps of retrieving an input image, executing a tagging process on the input image for tagging one of an edge tag, a fuzzy tag, and a photo tag on each sub-image of the input image, executing the different printing converting process on each sub-image according to its tag for obtaining a printable image, and printing according to the printable image. The present disclosed example can deepen the object edges in the image being printed, improving the image quality of non-edge regions, and improving the printing quality.

To generate a favorable image that suppresses the occurrence of pattern noise in a method of performing patch-based noise reduction for a RAW image. In order to attain this object, the image processing apparatus of the present invention includes a pixel setting unit; a patch setting unit; and a noise reduction unit. Then, the pixel setting unit sets, for one pixel of interest, at least two kinds of pixel whose positions are different in a minimum unit of the color filter array as the plurality of reference pixels. Further, the patch setting unit sets, for one pixel of interest, at least two kinds of reference patch whose shapes are different.

A signal correction device includes a correction signal generator configured to generate a correction signal serving to remove noise superimposed on an input signal; a phase adjuster configured to shift a phase of the correction signal generated by the correction signal generator; a subtractor configured to generate an output signal for output by subtracting the correction signal from the input signal; a peak and bottom detector configured to detect a peak value and a bottom value of the output signal; and a determiner configured to determine a phase-shift amount of the phase adjuster from the peak value and the bottom value of the output signal detected by the peak and bottom detector. The determiner detects uncorrected noise from the peak value and the bottom value of the output signal from the subtractor, and sets the phase-shift amount such that the uncorrected noise is reduced to a minimum.

A signal correction device includes a correction signal generator configured to generate a correction signal serving to remove noise superimposed on an input signal; a phase adjuster configured to shift a phase of the correction signal generated by the correction signal generator; a subtractor configured to generate an output signal for output by subtracting the correction signal from the input signal; a peak and bottom detector configured to detect a peak value and a bottom value of the output signal; and a determiner configured to determine a phase-shift amount of the phase adjuster from the peak value and the bottom value of the output signal detected by the peak and bottom detector. The determiner detects uncorrected noise from the peak value and the bottom value of the output signal from the subtractor, and sets the phase-shift amount such that the uncorrected noise is reduced to a minimum.

An image processing apparatus corrects a measured value obtained by measuring a measurement image formed using a printing element configured to discharge ink, the measured value being used to identify a density characteristic of the printing element. The image processing apparatus obtains a measured value; and corrects the measured value based on a density of the measurement image.