Abstract: A semiconductor device includes an image acquisition circuit which acquires a plurality of captured image data obtained by capturing a plurality of images, an estimation source image generation circuit which cancels effects of initial color adjustment processing on each captured image data to generate image data of a plurality of estimation source images, a readjustment circuit which divides each estimation source image into a plurality of processing regions to perform color balance readjustment processing for each processing region, and an image synthesis circuit which synthesizes the image data of the plurality of estimation source images so that overlapping regions included in the estimation source images overlap each other to generate image data of a synthesized image.

Abstract: A printing apparatus provided with a detection circuit executes: printing a first undercoat color on a printing medium; performing a calibration with respect to the printed first undercoat color; printing an adjustment pattern using a first pattern color that has a complementary-color relationship with the first undercoat color; detecting the adjustment pattern using the detection circuit; and making an adjustment based on the detected adjustment pattern.

Abstract: 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.

Abstract: Vision sensor dynamic watermarking via noise characterization are disclosed herein. An example device can capture an image by a first device, where the image comprising a pixel group has baseline noise characterization caused by a base noise profile for the first device. The device can produce a noise watermark to create a watermarked image, where the noise watermark can be produced by altering the baseline noise characterization to produce modified noise characterization. The device can also transmit the watermarked image to a receiver.

Abstract: A document reading apparatus of a printing apparatus includes a document setting unit and a reading unit, the document reading apparatus being provided at a higher position compared to a printing unit. The document setting unit includes a supporting surface configured to support a document, and the reading unit is configured to read the document conveyed from the document setting unit. The document reading apparatus moves to a reading position and to a retracted position at which the document reading apparatus is retracted from the reading position. Furthermore, the printing apparatus includes a cover member configured to cover the printing unit. The cover member includes an outer surface configured to support and guide the document together with the supporting surface in a case where the document reading apparatus is at the reading position.

Abstract: A method for authenticating digital information includes obtaining, in digital form, information for authentication; preparing the information for processing; such preparation including converting the information into a digital image; identifying segments of content in the digital image; grouping the segments of content into one or more segment groups; generating a marking sequence comprising shifting at least one of the one or more segment groups in one or more directions; and applying the marking sequence to the digital image, creating a unique marked copy of the digital image.

Abstract: Provided is an image processing apparatus including a generating unit configured to print data to be used in a process of printing a metallic image using a metallic ink containing silver particles in an inkjet printing apparatus capable of ejecting the metallic ink and at least one type of chromatic color ink; and an obtaining unit configured to obtain metallic image data corresponding to a predetermined region on a print medium and indicating a tone in the metallic image. The generation unit generates print data of the metallic ink to be printed in the predetermined region based on the metallic image data and generates print data of the chromatic color ink to be printed in the predetermined region based on the metallic image data obtained by the obtaining unit and pre-stored data indicating the correspondences between tone values of the metallic image data and amounts of the chromatic color ink.

Abstract: Examples relating to watermarking digital content are described herein. According to one example, a digital quality of digital content received for watermarking is determined. From a library of watermark tints comprising a plurality of preformed watermark tints of predefined sizes, a watermark tint set for watermarking the digital content is retrieved, the watermark tint set comprising a plurality of watermark tints having a first size. The first size of the plurality of watermark tints is determined based on the digital quality of the digital content. The plurality of watermark tints having the first size are overlaid over the digital content to watermark the digital content.

Abstract: A color conversion apparatus includes an obtaining unit, a defining unit, and an output unit. The obtaining unit obtains information indicating a positional relationship between basic-color toners of basic colors and a special-color toner of a special color among special-color toners of special colors regarding vertical layering on an image formed in an image forming apparatus using the basic-color toners and the special-color toner. The defining unit defines a spot color by a combination of the basic colors and the special color. The output unit outputs, in accordance with the positional relationship indicated by the information, basic-color conversion tables used to convert the spot color to the basic colors that are included in the combination and a special-color conversion table used to convert the spot color to the special color that is included in the combination.

Abstract: The objective of the present invention is to provide an information recording body, a medium and a printed product having improved design properties. An information recording body provided with a superimposed image including a brilliant layer and a transparent layer formed on the brilliant layer is characterized in that: the brilliant layer is a chromatic color image formed from a brilliant material; the transparent layer is a regular pattern image formed from a transparent starting material; the transparent starting material is configured in such a way that an amount of light reflected therefrom differs depending on an observation angle; and the superimposed image is formed in such a way that the transparent layer is recognizable in accordance with a specific observation angle.

Abstract: Input color values corresponding to an input image are received; a color space of the input color values is converted to an LMS color space with three elements, the three elements including a long wavelength (L) element, a medium wavelength (M) element, and a short wavelength (S) element; color values in the LMS color space are grouped into a plurality of groups based on color vision information, each of the groups including color values determined as approximate based on the color vision information; and lightness of color values included in each of the groups is adjusted and an image output device is instructed to apply said adjusted lightness of color values to said input image.

Abstract: A computer is caused to execute processing of transforming a first color information indicating a first color in a first color space into a second color information in a second color space which is an opponent color space different from the first color space, according to a type of a color vision and a color vision strength indicating a degree of the color vision; calculating, in the second color space, a third color information having a predetermined color difference with respect to the transformed second color information; and transforming the calculated third color information into a fourth color information indicating a second color in the first color space, according to a type of a color vision and a color vision strength indicating a degree of the color vision.

Abstract: The present disclosure provides systems and methods for hiding information using deep neural networks. In one example, a computer-implemented method is provided to train neural networks for hiding images, which includes inputting a package image and a cover image into an image hiding neural network and generating a carrier image as an output, the carrier image comprising the package image hidden within the cover image. The method includes inputting the carrier image into an image decoding neural network and generating a reconstruction of the package image as an output. The method includes simultaneously training the image decoding neural network based at least in part on a first loss function that describes a difference between the package image and the reconstruction of the package image and the image hiding neural network based at least in part on the first loss function and on a second loss function that describes a difference between the cover image and the carrier image.

Abstract: The present disclosure relates generally to signal encoding for product packaging and other printed objects. One implementation utilizes a target reflectance value for image content combined with an encoded signal at or around 660 nm to guide color changes. Luminance change is controlled through opposing color shifts, while maintaining the target reflectance value. Other implementations are provided.

Abstract: A method includes obtaining a dynamic range representation of an image including multiple color channels. The dynamic range representation includes dynamic range information of pixels of the image in the color channels. The method further includes decomposing the dynamic range representation into a smooth portion, a color portion, and a detail portion. The smooth portion includes low frequency information of the pixels in the color channels. The color portion includes color intensity information of the pixels in the color channels. The detail portion includes high frequency information of the pixels in the color channels. The method also includes adjusting the smooth portion, the color portion, and the detail portion, respectively, to obtain an adjusted smooth portion, an adjusted color portion, and an adjusted detail portion, and combining the adjusted smooth portion, the adjusted color portion, and the adjusted detail portion to generate an output image.

Abstract: An image processing system comprises one or more image sensors configured to take images, one or more image processors configured to process images taken by the one or more image sensors to produce output images, and one or more circuits configured to use output images. The one or more image processors comprise a set of one or more image processing stages, and each stage is configured to process images using a respective image processing operation. Processing circuitry is configured to verify image processing performed by one or more image processing stages, by inserting one or more probes into one or more images prior to the one or more images being processed by the one or more image processing stages, and attempting to identify the one or more probes in an output of the one or more processing stages.

Abstract: The present disclosure relates generally to signal encoding for printed objects. One implementation selects an embed direction based on a minimal visibility axis of a 1 JND ellipse at a certain color center. Other technology provided.

Abstract: An image forming apparatus includes a feeder having a tray and configured to convey a sheet, a reader including a platen, an image forming unit configured to form a test pattern, and a controller. The controller adjusts, based on a result of reading the sheet having the test pattern formed thereon, a quality of an image to be formed by the image forming unit. In a case where a sheet of a first type having the test pattern formed thereon is placed on the tray, the feeder conveys the sheet. In a case where a sheet of a second type having the test pattern formed thereon is placed on the tray, the controller is configured to display a notification representing that the sheet is not to be conveyed by the feeder.

Abstract: A method, computer system, and a computer program product for generating one or more realistic x-ray angiography (XA) images for deep learning is provided. The present invention may include generating at least one three-dimensional (3D) model associated with a subject. The present invention may then include projecting the generated 3D model associated with the subject into one or more two-dimensional (2D) images associated with the subject. The present invention may also include creating the one or more realistic XA images of the subject from the one or more 2D images associated with the subject by utilizing a trained deep convolutional neural network.

Abstract: An image processing apparatus of an embodiment includes an image processing unit to convert a color image to a monochrome image. The color image comprises pixels with a plurality of color components. The image processing unit is configured to generate a histogram from the monochrome image showing a color intensity gradation in the monochrome image by pixel frequency. A processor is configured to obtain a first threshold value based on the histogram, determine for each color component of each pixel in the color image whether or not each color component of the pixel is light based on the first threshold value, and generate a corrected color image by removing a background coloring from the color image by correcting each pixel for which all the color components are determined to be light.