Abstract: Reduce image quality deterioration of an object area that is gazed viewed by a user in a case where information is embedded in an image. An image processing apparatus including a recognition unit configured to recognize an object within an image and a layout unit configured to lay out information relating to an object recognized by the recognition unit in an area except for an object area for the recognized object within the image.

Abstract: In a case where a sample color is outside a color reproduction range of an image forming apparatus, there arises an issue that an adjustment target color cannot be brought close to a user-desired color. An image forming apparatus includes a generation unit configured to cause a printing unit to print a plurality of colors close to an acquired sample color and generate a color conversion table based on a user-selected color among the plurality of printed colors in a case where it is determined that the acquired sample color is outside a color reproduction range of the image forming apparatus, whereas in a case where it is determined that the acquired sample color is not outside the color reproduction range, the generation unit generates a color conversion table without causing the printing unit to print the plurality of colors close to the sample color.

Abstract: A method of forming a data-hiding watermark on a surface may include encoding data within an image using the chrominance data of the of the image, adjusting at least one characteristic of the image to enhance the prominence of the encoded data within the image, and printing the adjusted, encoded image onto the surface.

Abstract: A digital watermarking system and method for embedding information in and extracting information from content items, such as video signals, are described. In a method for encoding or embedding information in a content item, a content item including a plurality of frames is accessed in which each of a number of elements within the frames is associated with an inter-frame difference measure representing changes in the element between two frames. Information for embedding in the content item is accessed. Symbols of the information are embedded in the content item by manipulating the inter-frame difference measure of a selected element through a number of frames using an algorithm and the information. The information is used by the algorithm to control the manipulation. The manipulated content item is output as a watermarked content item having the information embedded therein.

Abstract: In a banknote inspection device, a storage unit stores a first learning model generated using an image of a character with a hole as training data, and a second learning model generated using an image of a character without a hole as training data, and a recognition unit recognizes a serial number character that is a character forming a serial number of a banknote by using the first learning model when a character image, which is as image of the serial number character, has a hole, and recognize the serial number character by using the second learning model when the character image does not have a hole.

Abstract: An example device for processing image data includes a memory configured to store an image; and one or more processors implemented in circuitry and configured to: process the image to identify a pilot signal in the image indicating a portion of the image, the pilot signal forming a boundary around the portion and having pixel values defined according to a mathematical relationship with pixel values within the portion such that the pilot signal is not perceptible to a human user and is detectable the device; determine the portion of the image using the pilot signal; and further process the portion to attempt to detect one or more contents of the portion without attempting to detect the one or more contents of the image in portions of the image outside the portion.

Abstract: A method includes obtaining first color information for each of a plurality of first samples of a first target color with a color measurement device connected to a computing device including a display. A digital color image of at least one first target color is displayed on the display. An offset value for each first target color is determined such that the digital color image of each first target color matches the corresponding first target color on each of the first samples. A second sample including a second target color is scanned to obtain second color information. A processor of the computing device determines, using the offset values of the first target colors, an interpolated offset for the display such that the digital image of the second target color matches the second target color.

Abstract: A method for transforming an input array of pixel data into an output array of data, to yield enhanced expression of a digital watermark signal in the output array. One such method includes, for each pixel in the input array, generating a first datum that indicates a value difference between said pixel and a neighboring pixel in a first direction, the first data thereby collectively comprising a first directional difference array. Similarly, for each such pixel in the input array, generating a second datum that indicates a value difference between said pixel and a neighboring pixel in a second direction, the second data thereby collectively comprising a second directional difference array. One or more transforms to a spatial frequency domain are then performed, using these first and second directional difference arrays as input data. First and second results from the one or more transformations are then combined to yield an output array.

Abstract: An information processing device and an information processing method capable of effectively implementing sales promotion measures for promoting product purchase via an EC company while avoiding leakage of personal information are provided. The information processing device includes a processing unit that performs mask processing or mosaic processing on a predetermined area of a captured image acquired by capturing at least one of a purchase history, a delivery statement, and an email provided to a user by at least one electronic commerce company, and a determination unit that determines whether the captured image that has been processed includes predetermined information.

Abstract: A calculation device comprises a color evaluation unit that acquires a sensor color and four or more reference colors from photography data from a measurement time when an indication object was photographed in a second photography environment; determines coefficients for color conversion between a first and the second photography environments based on the amount of change from color information for the reference colors in the first photography environment, which has been read from a calculation device storage unit, to color information for the reference colors in the second photography environment, which has been acquired from the photography data; and uses the sensor color acquired from the photography data from the measurement time and the color conversion coefficients to correct the sensor color to the color that would have been photographed in the first photography environment by solving a conversion formula including terms representing an affine transformation consisting of translation.

Abstract: Disclosed are systems and methods for generating search result data based on machine-encoded text generated by computer vision optical character recognition machine learning techniques performed on digital media. The disclosed systems and methods provide a novel framework for performing machine learning visual search or machine learning text extraction techniques on digital media in order to extract and analyze the data therein and further conduct search queries based on the extracted and analyzed data. The disclosed framework may leverage the aforementioned computer vision machine learning techniques in order to provide a user with relevant search results regarding objects and text detect in digital media captured on a user device.

Abstract: A method is described in which sets of corresponding colorimetric values are obtained. In a set, a colorimetric value is associated with a device color. A number of device colors are selected according to the color differences between colorimetric values associated with the same device color. A color calibration pattern is elaborated for a printer to be calibrated using the selected device colors and calibration is performed using the sets of colorimetric values.

Abstract: A detection device for detecting the presence of a substance of interest in a sample is described. The device can include a data store comprising executable instructions for at least one convolutional neural network, CNN, configured to process images: and a processor coupled to the data store and configured to execute the instructions to operate the at least one CNN. The detection device can be configured to: obtain spectrometry data, operate a first one of the CNNs to process the spectrometry data to obtain a first CNN output; apply a mask to the spectrometry data to obtain masked data; operate a second one of the CNNs to process the masked data to obtain a second CNN output; and determine if the substance of interest is present in the sample based on both the first CNN output and the second CNN output.

Abstract: A method for building an image determination model that determines whether a print image is a good image or a failure image includes a step of determining whether the print image is a high-density image or a low-density image; a step of generating teaching data by combining pseudo-failure data with to-be-combined image data, based on a result of the determination; and a step of performing machine learning. Regarding the combining of the pseudo-failure data, for a print image determined to be the high-density image, low-density pseudo-failure data is combined with to-be-combined image data, and for a print image determined to be the low-density image, high-density pseudo-failure data is combined with to-be-combined image data.

Abstract: The present invention provides a measurement method capable of measuring a physical property value of light output based on a pixel value at any coordinates in an original image. According to the present invention, provided is a measurement method including a display control step of displaying a patch image generated based on a pixel value at target coordinates in the original image, on a display screen at patch display coordinates different from the target coordinates; and a measurement control step of measuring the physical property value of the light from the patch image displayed on the display screen.

Abstract: In an illustrative embodiment, watermark decoding reliability is increased, for images of watermarked objects captured at close distances, by reducing influence of pixel noise (e.g., shot noise). In the same or different embodiment, watermark decoding reliability is increased, for images of watermarked objects captured from far distances, by reducing image under-sampling. A particular implementation down-samples input imagery twice—a first time by a fixed factor, preparatory to performing an FFT, and a second time by a variable factor, preparatory to submitting the image for decoding, where the variable factor is determined using results from the FFT. A number of other features and arrangements are also detailed.

Abstract: Provided is an image processing device which has: an image input part configured to input a multi-spectral image which includes N (N is an integer of 4 or more) channels corresponding to N bands; a reference vector setting part configured to cause a user to set, as three reference vectors, three types of N-dimensional vectors having sensitivities of the respective N bands as elements; and a conversion part configured to convert the multi-spectral image into a 3-channel image including three channels by decomposing a spectral distribution of each pixel of the multi-spectral image on the basis of the three reference vectors.

Abstract: A color table is modulated. The color table includes a plurality of nodes, and each node corresponds with a color input in the first color space and provides a print output in a second color space. The set of the plurality of nodes are arranged in a vector of a first color perception parameter. The vector can be arranged according to an order of increasing second color perception parameter in the first color space to an end node of the set of the plurality of nodes. A node in the set of the plurality of nodes that provides a peak amount of the second color perception parameter on the medium is determined. The print output for the end node is replaced with a print output corresponding with the node that provides the peak amount of the second color perception parameter on the medium.

Abstract: Examples of an apparatus and method for use with a printing system are described herein. A correction to be applied to a printing system during print calibration is obtained. A distortion is applied to the correction. A relationship between an expected and measured output of the printing system is determined based on the print performed at least in part on the distorted correction. The printing system is calibrated on the basis of the determined correction.

Abstract: Various example embodiments relate to an electronic device for recognizing visual stimulus based on spontaneous selective neural response of deep artificial neural network and an operating method thereof, and may configured to measure a response of an untrained randomly-initialized neural network for an input image, and recognize at least one visual stimulus from the input image, based on the measured response.