H04N1/504

Image processing apparatus, image processing method, and storage medium
11554591 · 2023-01-17 · ·

An object is to enable highly accurate density unevenness correction while suppressing a reduction in productivity of printing accompanying correction value calculation for density unevenness correction. In the image processing apparatus, density correction information that specifies an output tone value for implementing a target density for an input tone value for each nozzle and which does not include the influence by a non-ejectable nozzle that cannot eject ink normally is acquired. In a case where a non-ejectable nozzle is detected during printing processing, output tone values corresponding to the detected non-ejectable nozzle and peripheral nozzles thereof among output tone values specified in the density correction information are changed.

IMAGE PROCESSING DEVICE, IMAGE FORMING DEVICE, IMAGE FORMING SYSTEM, AND IMAGE PROCESSING PROGRAM
20180011437 · 2018-01-11 · ·

Provided is an image processing device used for image processing in an image forming device that executes linear image forming in a first direction repeatedly in a second direction orthogonal to the first direction and executes two-dimensional image forming on a recording medium, the image processing device including: a processor configured to: acquire a phase of a member that contributes to image forming by rotating or circulating in the second direction and calculate, for each of different phases, an input/output gradation characteristic indicating a correspondence relationship in density in the same pixels in pre-output image data and post-output image data acquired by scanning of an image formed on the recording medium; calculates correction data to solve a difference between the input/output gradation characteristic in each of the phases and a reference input/output gradation characteristic; and correct the pre-output image data with the correction data of each of the phases.

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM
20230110982 · 2023-04-13 ·

An object is to enable highly accurate density unevenness correction while suppressing a reduction in productivity of printing accompanying correction value calculation for density unevenness correction. In the image processing apparatus, density correction information that specifies an output tone value for implementing a target density for an input tone value for each nozzle and which does not include the influence by a non-ejectable nozzle that cannot eject ink normally is acquired. In a case where a non-ejectable nozzle is detected during printing processing, output tone values corresponding to the detected non-ejectable nozzle and peripheral nozzles thereof among output tone values specified in the density correction information are changed.

Radiating device and media exposure device
09823569 · 2017-11-21 · ·

This invention relates to a media exposing device for exposing media. The media exposure device includes a holding structure; a substrate having a plurality of diodes mounted thereon; and a radiation modification element for modifying the radiation emitted by the diodes. The substrate and the radiation modification element are secured by the holding structure in an arrangement wherein the diodes can emit radiation from the device and wherein the radiation modification element is spaced from the diodes in the radiation path of the diodes; and a telecentric lens secured to the holding structure in an arrangement wherein the telecentric lens is substantially in register with the radiation path of the diodes.

SIGNAL PROCESSING APPARATUS AND SIGNAL PROCESSING METHOD
20170287125 · 2017-10-05 ·

A signal processing apparatus includes an acquisition unit that acquires input data and detection target data, a noise strength setting unit that sets a noise strength K used to a predetermined stochastic resonance processing and a stochastic resonance processing unit that performs the predetermined stochastic resonance processing and outputs processed data. The predetermined stochastic resonance processing is a processing based on a formula in which processed data J(x) is represented by I(x), the noise strength K and the threshold value T and the processed data J(x) corresponds to a result in a case where M is infinite in the following formula,

[00001] J ( x ) = 1 M .Math. .Math. m = 1 M .Math. j ( x , m ) .

The noise strength setting unit sets the noise strength based on a function of a correlation coefficient between the result of the predetermined stochastic resonance processing and the detection target data and the noise strength K.

SIGNAL PROCESSING APPARATUS, SIGNAL PROCESSING METHOD, AND STORAGE MEDIUM
20170288713 · 2017-10-05 ·

A signal processing apparatus includes a unit configured to generate noise cut data by deducting a predetermined noise value from values of respective signals constituting input data and a stochastic resonance processing unit configured to subject the noise cut data to a predetermined stochastic resonance processing. The predetermined stochastic resonance processing is processing to output, in a method of synthesizing a result of parallelly performing steps of adding new noise to the noise cut data to subject the resultant data to a binary processing, a value obtained in a case where the parallel number is infinite.

Image processing device, article processing apparatus, and image processing method

An image processing device that acquires an image from an object includes an illuminator having a plurality of light sources, a sensor unit, and a controller. The plurality of light sources irradiates light of respectively different colors onto an object. The sensor unit outputs luminance data for one line obtained by photoelectrically converting light is reflected from the object of that was irradiated by the illuminator onto the object. The controller acquires a random number, and acquires luminance data for one line output by the sensor unit, while causing one light source selected from the plurality of light sources based on the acquired random number to emit light.

Liquid discharging apparatus, method for discharging liquid and recording medium
11279141 · 2022-03-22 · ·

A liquid discharging apparatus includes a print head unit including a nozzle array with a plurality of nozzles in a sub-scanning direction, each nozzle being configured to discharge liquid onto a print medium. The liquid discharging apparatus includes a moving unit configured to move the print head unit in a scanning direction perpendicular to the sub-scanning direction with respect to the print medium, while causing discharge of the liquid onto the print medium. The moving unit is configured to move, without discharge of liquid, the print medium or the print head unit in the sub-scanning direction. The liquid discharging apparatus includes a line-pitch setting unit configured to set a line pitch by which the print head unit moves, per scan with respect to the sub-scanning direction.

IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM
20210303950 · 2021-09-30 ·

An object is to enable highly accurate density unevenness correction while suppressing a reduction in productivity of printing accompanying correction value calculation for density unevenness correction. In the image processing apparatus, density correction information that specifies an output tone value for implementing a target density for an input tone value for each nozzle and which does not include the influence by a non-ejectable nozzle that cannot eject ink normally is acquired. In a case where a non-ejectable nozzle is detected during printing processing, output tone values corresponding to the detected non-ejectable nozzle and peripheral nozzles thereof among output tone values specified in the density correction information are changed.

Correcting in-track errors in a linear printhead

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.