Abstract: [Problem] Provided is a technique to reduce volume of data for a model reconstructed from an object in real space and to reconstruct a shape of the object as a further preferable aspect. [Solution] An information processing device includes: a first estimation unit configured to estimate a first distribution of geometric structure information regarding at least part of a face of an object in real space, in accordance with each of a plurality of beams of polarized light, having different polarization directions from each other, as a result detected by a polarization sensor; a second estimation unit configured to estimate a second distribution of information related to continuity of a geometric structure in the real space based on an estimation result of the first distribution; and a processing unit configured to determine a size of unit data for simulating three-dimensional space in accordance with the second distribution.

Abstract: An image forming apparatus includes: a plurality of image forming parts each of which transfers a toner image to the transfer medium, the plurality of image forming parts being arranged from an upstream side to a downstream side along a moving direction of the transfer medium; a density detector that detects a density of the toner image; and a hardware processor that performs image stabilization control in which a plurality of patch images is formed while levels of parameters of image formation are changed for each of the image forming parts and the parameters are corrected based on respective densities of the patch images detected by the density detector.

Abstract: An image forming apparatus that has a plurality of image formers arranged from an upstream side toward a downstream side in a moving direction of a transfer medium, each of the image formers forming a toner image on the transfer medium, includes a density detector that detects densities of toner images formed by the plurality of image formers, and a hardware processor that performs image stabilization control on each of the image formers, the image stabilization control being performed to form a plurality of patch images by changing levels of a parameter for image formation, the image stabilization control being performed to conduct correction on the parameter in accordance with respective densities of the patch images detected by the density detector.

Abstract: There is provided an image forming apparatus capable of suppressing fluctuation of sensor output. The image forming apparatus includes, an image bearing member, a photosensor and a hardware processor. The image bearing member has a layered structure in which a surface layer is laminated on a base material layer. The photosensor irradiates a surface of the image bearing member on which a toner image is formed with detection light on the basis of a predetermined detection condition, and receives reflected light of the detection light reflected from the surface of the image bearing member. The hardware processor controls at least a dominant wavelength of the photosensor among the predetermined detection conditions such that light interference and dark interference are included in the reflected light, and controls a toner adhesion amount onto the image bearing member on the basis of an output of the photosensor.

Abstract: An image forming system includes: a density detecting section that detects the density of a toner image formed on an image bearing member by an image forming section, the density being detected as an output image density; a hardware processor which performs; tone correction in accordance with input-output characteristics data indicating the relationship between an input image density and an output image density, the input image density being the image density of a tone component included in the input image data, the output image density being detected by the density detecting section in accordance with the tone component; determining whether there is a missing tone component in the input image data; and complementing the input-output characteristics data corresponding to a missing tone component, when it is determined that there is the missing tone component.

Abstract: An image forming apparatus that forms an output image corresponding to input image data on an image carrier by superimposing toner images of colors, includes a hardware processor that: detects color information of the output image for every pixel region; converts color information of the input image data for every pixel region and color information of the output image for every pixel region into indexes which define colors in predetermined color space coordinates; extracts a pixel region in which the color information of the output image is different from the color information of the input image data, and corrects the color information of the input image data with respect to the extracted pixel region; and stores the color information of the input image data as data for calibration in combination with the color information of the output image and image forming conditions when forming the output image.

Abstract: There is provided an image forming apparatus capable of suppressing fluctuation of sensor output. The image forming apparatus includes a photosensor and a hardware processor. The photosensor has a layered structure in which a surface layer is laminated on a base material layer, irradiates a surface of an image bearing member on which a toner image is formed with detection light on the basis of a predetermined detection condition, and receives reflected light of the detection light reflected from the surface of the image bearing member. The hardware processor controls at least a dominant wavelength of the photosensor among the predetermined detection conditions such that light interference and dark interference are included in the reflected light, and controls a toner adhesion amount onto the image bearing member on the basis of an output of the photosensor.

Abstract: An image forming system includes: a density detecting section that detects the density of a toner image formed on an image bearing member by an image forming section, the density being detected as an output image density; a hardware processor which performs; tone correction in accordance with input-output characteristics data indicating the relationship between an input image density and an output image density, the input image density being the image density of a tone component included in the input image data, the output image density being detected by the density detecting section in accordance with the tone component; determining whether there is a missing tone component in the input image data; and complementing the input-output characteristics data corresponding to a missing tone component, when it is determined that there is the missing tone component.

Abstract: An image forming apparatus includes: an image former that forms an image, which is desired by a user and different from a predetermined pattern, on a sheet; an output information detector that detects output information on a first image formed on a first sheet by the image former; and a hardware processor that: acquires an correction amount of a third image, which is formed on a third sheet after the first sheet and a second sheet, according to a detection result of the first image by the output information detector and image information on a second image formed on the second sheet after the first sheet by the image former; and controls the image former so as to correct the third image based on the correction amount acquired by the hardware processor.

Abstract: An image forming system includes: a density detecting section that detects the density of a toner image formed on an image bearing member by an image forming section, the density being detected as an output image density; a hardware processor which performs; tone correction in accordance with input-output characteristics data indicating the relationship between an input image density and an output image density, the input image density being the image density of a tone component included in the input image data, the output image density being detected by the density detecting section in accordance with the tone component; determining whether there is a missing tone component in the input image data; and complementing the input-output characteristics data corresponding to a missing tone component, when it is determined that there is the missing tone component.

Abstract: An image forming apparatus that forms an output image corresponding to input image data on an image carrier by superimposing toner images of colors, includes a hardware processor that: detects color information of the output image for every pixel region; converts color information of the input image data for every pixel region and color information of the output image for every pixel region into indexes which define colors in predetermined color space coordinates; extracts a pixel region in which the color information of the output image is different from the color information of the input image data, and corrects the color information of the input image data with respect to the extracted pixel region; and stores the color information of the input image data as data for calibration in combination with the color information of the output image and image :forming conditions when forming the output image.

Abstract: An image forming system includes: a density detecting section that detects the density of a toner image formed on an image bearing member by an image forming section, the density being detected as an output image density; a hardware processor which performs; tone correction in accordance with input-output characteristics data indicating the relationship between an input image density and an output image density, the input image density being the image density of a tone component included in the input image data, the output image density being detected by the density detecting section in accordance with the tone component; determining whether there is a missing tone component in the input image data; and complementing the input-output characteristics data corresponding to a missing tone component, when it is determined that there is the missing tone component.

Abstract: A distance between a reference position and a reference image of a sheet is accurately measured without adding a special device even when an attitude of the sheet is not stable. An aspect of the present invention obtains image data by reading a sheet surface formed with the reference image such as a trim mark by a reading portion. A height calculation portion calculates edge-blur amounts of the reference position and the reference image on the sheet surface from the image data. Furthermore, a height calculation portion detects heights from a focus position to the sheet surface for the reference position and the reference image, from the edge-blur amount and a reflected light amount of a white solid portion. Moreover, a distance detection portion calculates a distance between the reference position and the reference image on the sheet surface, on the basis of a detection result.

Abstract: A distance between a reference position and a reference image of a sheet is accurately measured without adding a special device even when an attitude of the sheet is not stable. An aspect of the present invention obtains image data by reading a sheet surface formed with the reference image such as a trim mark by a reading portion. A height calculation portion calculates edge-blur amounts of the reference position and the reference image on the sheet surface from the image data. Furthermore, a height calculation portion detects heights from a focus position to the sheet surface for the reference position and the reference image, from the edge-blur amount and a reflected light amount of a white solid portion. Moreover, a distance detection portion calculates a distance between the reference position and the reference image on the sheet surface, on the basis of a detection result.

Abstract: An unknown surface shape of a physical object can be extracted with good precision. Image data of a projective image that has been acquired by radiation projection to an object is acquired. Next, a predetermined mesh structure is used to acquire cross-sectional images of the subject from image data of the projective images by reconstruction using tomography. Lattice points constituting the mesh structure are then moved in conformity with the surface shape of the object, based on the cross-sectional image that has been acquired by reconstruction. Reconstruction is carried out again using the mesh whose lattice point positions have been corrected. Movement on the reconstruction of the lattice points is then repeated as many times as required.

Abstract: In an image-forming apparatus such as a printer, a controller judges whether or not a determination processing of fixity saturation state is performed to determine a fixing condition in which an image density of a patch is the fixity saturation state. The controller then performs the determination processing of fixity saturation state when a use condition is changed. The controller settles fixing conditions in which the image density of patch is highest as the set value when the image density of the patch is saturated. Next, the controller performs a toner adhesion amount adjustment using an intermediate transfer belt. A target value of the toner adhesion amount on the intermediate transfer belt corresponding to the target image density is set and then, an optimal developing voltage that is the set target value is set. After the toner adhesion amount adjustment, the controller performs fixity adjustment.

Abstract: In an image-forming apparatus such as a printer, the controller judges whether or not a determination processing of fixity saturation state is performed to determine the fixing condition in which the image density of the patch is the fixity saturation state. The controller then performs the determination processing of fixity saturation state when the use condition is changed. The controller settles fixing conditions in which the image density of patch is highest as the set value when the image density of the patch is saturated. Next, the controller performs a toner adhesion amount adjustment using an intermediate transfer belt. A target value of the toner adhesion amount on the intermediate transfer belt corresponding to the target image density is set and then, an optimal developing voltage that is the set target value is set. After the toner adhesion amount adjustment, the controller performs fixity adjustment.

Abstract: An image forming apparatus and a gradation correction method for the same are provided. An image forming apparatus includes an image forming section that forms a plurality of patch bands in a plurality of positions in a main scanning direction on an image bearing member, each of the plurality of patch bands having a plurality of gradation patches disposed in a sub-scanning direction; a density detection section that detects densities of the plurality of patch bands; and a control section that performs gradation correction based on detection results from the density detection section. The plurality of patch bands differs from each other.

Abstract: A cleaning device comprises: a rotational brush disposed to touch an image holder and a lubricant, the brush which scrapes the lubricant and applies the scraped lubricant to the image holder, the brush including: a rotational axis; and a plurality of looped bristles disposed around the rotational axis, wherein a contact length of the bristles to the lubricant is longer than a contact length of the bristles to the image holder.

Abstract: An unknown surface shape of a physical object can be extracted with good precision. Image data of a projective image that has been acquired by radiation projection to an object is acquired. Next, a predetermined mesh structure is used to acquire cross-sectional images of the subject from image data of the projective images by reconstruction using tomography. Lattice points constituting the mesh structure are then moved in conformity with the surface shape of the object, based on the cross-sectional image that has been acquired by reconstruction. Reconstruction is carried out again using the mesh whose lattice point positions have been corrected. Movement on the reconstruction of the lattice points is then repeated as many times as required.