An image processing apparatus includes: a first inverter to output binary image data having first resolution, as image data having pixel values that are inverted or image data having unprocessed pixel values, in accordance with an inversion signal; a thinning processor to convert the image data output from the first inverter from the first resolution to second resolution and perform a thinning process of thinning pixels of edge portions of the image data in units of the second resolution; and a second inverter to output the image data having the second resolution for which the thinning process is performed, as image data having pixel values that are inverted or image data having unprocessed pixel values, in accordance with the inversion signal.

An image processing device includes: a first matching circuit to determine whether an image matrix of image data of a first resolution matches a first pattern, and output a first determination result; a first converting circuit to, if the image matrix matches the first pattern, replace a target pixel of the image matrix with a first pixel pattern of a second resolution, and output first image data of the second resolution; a second converting circuit to convert the image data of the first resolution into image data of the second resolution, and output second image data of the second resolution; a detecting circuit to detect whether the target pixel is included in a fine line structure, and output a detection result; and a selecting circuit to output one of the first image data and the second image data based on the first determination result and the detection result.

An image processing method separates an input image into a skeleton component, and residual component. In the method a local variation amount, which is a variation amount between a target pixel and a pixel adjacent to the target pixel, is calculated; a skeleton component extraction filter weight is calculated based on the local variation amount; an image feature amount of a gradient direction of a pixel value around the target pixel, and an image feature amount of a gradient strength of the pixel value around the target pixel, are calculated; the skeleton component extraction filter weight is corrected based on these image feature amount; a skeleton component extraction filter coefficient is calculated based on the corrected skeleton component extraction filter weight; and the skeleton component is extracted by applying skeleton component extraction filtering to the target pixel using the calculated skeleton component extraction filter coefficient.

MTF characteristics of a concavo-convex forming apparatus change depending on the amount of amplitude of input data, the operation condition of the apparatus, etc., and therefore, it is not possible to form a concavo-convex shape with good characteristics only by applying the MTF correction technique widely known in the image processing field. A concavo-convex forming apparatus including an input unit configured to input concavo-convex data representing concavo-convex of an object to be printed, and a correction unit configured to perform correction in accordance with a plurality of frequency band of the input concavo-convex data and whose intensity is made higher for the larger amplitude on the input concavo-convex data based on frequency response characteristics in a case where concavo-convex is formed on a printing medium.

An image processing device including a blurring processing unit that performs blurring processing for input image information that is input, includes: a saturation determination unit that calculates saturation of a saturated pixel of the input image information; a first gradation conversion unit that converts gradation of the input image information on a basis of the saturation calculated by the saturation determination unit; and, in which the blurring processing unit performs blurring processing for image information that has been subjected to gradation conversion by the first gradation conversion unit, a second gradation conversion unit that converts gradation of image information that has been subjected to the blurring processing, on a basis that gradation of a saturated region of the blurring-processed image information serves as a gradation of a saturated pixel.

A computational photography system is described herein including a guidance system and a detail enhancement system. The guidance system uses a first neural network that maps an original image provided by an image sensor to a guidance image, which represents a color-corrected and lighting-corrected version of the original image. A combination unit combines the original image and the guidance image to produce a combined image. A detail-enhancement system then uses a second neural network to map the combined image to a predicted image. The predicted image supplements the guidance provided by the first neural network by sharpening details in the original image. A training system is also described herein for training the first and second neural networks. The training system alternates in the data it feeds the second neural network, first using a guidance image as input to the second neural network, and then using a corresponding ground-truth image.

Determination information is obtained to determine a degradation characteristic of sharpness of an image formed by an image forming apparatus. One of a plurality of recovery processing parameters used to recover sharpness of an image is selected based on the determination information, and characteristics of the plurality of recovery processing parameters are different from each other. Recovery processing of sharpness is performed on image data using the selected recovery processing parameter. When the degradation characteristics of sharpness are visually and substantially the same, the same recovery processing parameter is selected.

The present invention provides an image processing method, an image processing device, and an image processing program which require low computing costs and with which it is possible to minimize noise amplification and halo generation caused by HDR. An image processing device according to one embodiment of the present invention has: a multi-resolution image generation means for generating a multi-resolution image; a correction amount calculation means for calculating a brightness correction amount on the basis of a lowest-resolution image of the multi-resolution image, a differential image between adjacent resolutions of the multi-resolution image, and edge information calculated at each resolution of the multi-resolution image; and a noise suppression means for calculating, on the basis of the lowest-resolution image, the differential image between adjacent resolutions, the edge information, and the brightness correction amount, an image after brightness correction in which a noise component is suppressed.

The present invention relates to a printer control system and a method for controlling the printing of an object on a support in a number of pass images on top of each other. The object has a surface of varying height. The printer control system comprises a user interface having a display device and arranged to visualize in a window on the display device a preview image before printing of the object. The preview image comprises a representation of the surface of the object. The printer control system further comprises an analysis section which is configured to analyze the pass images in order to predict before printing the object a location of a contouring artefact at the surface of the object, and a transformation section which is configured to transform the predicted location into a contour representation to be added to the preview image. The contour representation is visually distinguishable from the representation of the surface of the object in the preview image.

An optical reflective device for reflecting light including a grating medium having a first and second grating structure is disclosed. The first grating structure may be configured to reflect light of a wavelength about a first reflective axis offset from a surface normal of the grating medium at a first incidence angle. The second grating structure may be configured to reflect light of the wavelength about a second reflective axis offset from the surface normal of the grating medium at a second incidence angle different from the first incidence angle. The second reflective axis may be different from the first reflective axis.