Abstract: In some examples, a system detects a highlighted area in an image content, the highlighted area including a portion of the image content, and a highlighting mark that highlights the portion of the image content. The system applies a color adjustment process in the highlighted area, wherein the color adjustment process comprises adjusting a color of the highlighted area comprising the portion of the image content highlighted by the highlighting mark, and wherein the adjusting of the color of the highlighted area comprises adjusting color values of plural color components in a first color space.

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: There is provided with an image processing apparatus. An obtaining unit obtains a first image serving as a read image of an inspection target medium having undergone printing, and a second image serving as a read image of a reference medium representing a target print result. An inspection unit inspects a defect on the inspection target medium based on the first image and the second image by performing inspection at inspection settings different between a print region and a peripheral region of the inspection target medium.

Abstract: The occurrence of image quality adverse effects, such as interference fringes and color bleeding, is suppressed for an object including a spot color adjustment-target color. In a case where a spot color adjustment function is made use of, the same color separation table is caused to be applied uniformly, instead of switching color separation tables to be applied to an adjustment-target color depending on whether the object attribute is text/line/graphics, or image.

Abstract: An image processing apparatus includes: an input device to which a pre-color conversion image and a post-color conversion image are input; and a processor. The processor is configured to execute a program to extract color data in a certain region of at least one of the pre-color conversion image and the post-color conversion image, change at least one of a position and a range of the certain region in a case where the extracted color data meet a certain condition, and prepare a color conversion model using color data in the certain region after being changed.

Abstract: Provided is an image processing apparatus that enhances the distinctiveness of document having a color portion and outputs in monochrome. A monochrome visual determination unit determines whether or not the distinctiveness of the color portion is low when the document data having the color portion is output in monochrome. This color portion includes characters, electronic marks, and graphs, and they are after a specific keyword. A monochrome presentation unit presents to a user a warning or a result of modification when there is the color portion that the distinctiveness is determined to be low by the monochrome visual determination unit. The monochrome presentation unit presents a state in which the document data is output in monochrome by displaying a preview.

Abstract: Systems and methods are provided for decoding watermarks in video frames. A media device may receive a video frame that includes a first predetermined region comprising a watermark and a second predetermined region having pixel values selected to reduce the perceptibility of the first predetermined region. The media device may detect the watermark in the first predetermined region of the video frame and identify one or more contiguous subsets of pixels that correspond to a first pixel value and one or more contiguous subsets of pixels that correspond to a second pixel value. The media device then assigns a first symbol to the one or more contiguous subsets of pixels that correspond to the first pixel value and second symbol the one or more contiguous subsets of pixels that correspond to the second pixel value. The media device then generates a first sequence of symbols from the assigned symbols.

Abstract: Exemplary systems and methods are disclosed for detecting embedded data in a digital image. The system includes a processing device that extracts one or more features from a digital image and analyzes the one or more extracted features in a plurality of steganography analyzers, each steganography analyzer configured to execute a different steganography algorithm. The processing device generates an output data value at each steganography analyzer, the output data value indicating a probability that the digital image includes steganography according to the steganography algorithm of the steganography analyzer.

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: The present disclosure discloses methods and systems for automatically detecting Infrared (IR) security mark based on unknown halftone frequency information. The method includes receiving a document from a user including an IR security mark. The document is scanned. Then, one or more halftone frequencies associated with the IR security mark portion are estimated. Based on the estimation, the IR security mark portion is classified into a background region and the IR marked region including the IR security mark. The IR security mark is extracted and pixels falling in the IR marked region are reconstructed to identify content in the IR security mark. Finally, the identified content is compared with one or more pre-stored IR security marks to ascertain the presence of the IR security mark in the document for further assessment. This way, the method automatically detects the IR security mark in the document.

Abstract: This system is designed to color correct a targeted color or colors in a video stream comprising: a computer device having a computer readable medium; and, a set of computer readable instructions embodied on the computer readable medium that are configured to: receive a dataset that includes one or more pairs of video frames where a first frame of the pair of an incorrect color frame and the second frame of the pair is a color correct frame, using a machine learning module to create a mask according to the dataset, receiving an image, correcting the image, and, transmitting the corrected image to a display.

Abstract: Methods of image compression are described. A stream of color image data is filtered with a prediction routine using a pixel neighborhood. The filtered stream of color image data is sorted with a block sorting routing. A version of the color image data is compressed based on the sorted and filtered stream of color image data.

Abstract: A CNN of an image forming apparatus includes: an encoder which compresses, for each tile image obtained by dividing an image into specific size pieces, information of the tile image; a decoder which restores the information of the tile image compressed by the encoder; and a blank sheet determination portion which determines whether the tile image corresponds to a blank sheet image. A segmentation image generation portion uses, when the blank sheet determination portion determines the tile image as being the blank sheet image, the blank sheet image for an image of a part corresponding to the tile image in a segmentation image, and uses, when the blank sheet determination portion determines the tile image as not being the blank sheet image, an output image of the decoder for an image of a part corresponding to the tile image in the segmentation image.

Abstract: This application relates to an image processing method and apparatus, a storage medium, and a computer device. The method includes: obtaining a frequency domain mark image, the frequency domain mark image being obtained by performing frequency domain transformation on a spatial domain mark image; obtaining a transparency parameter configured corresponding to the frequency domain mark image; obtaining target page data; and performing layer superimposition rendering of the frequency domain mark image and the target page data according to the transparency parameter. The solution provided in this application can effectively protect target page data.

Abstract: An image processing apparatus includes: an input device to which images before color conversion and images after color conversion are input; and a processor. The processor is configured to execute a program to perform color conversion on a sample image using color conversion characteristics prepared by inputting sets of the images before color conversion and the images after color conversion to the input device, specify a portion at which a tone jump is caused from the sample image after color conversion, and acquire a set of an image before color conversion and an image after color conversion corresponding to the portion at which the tone jump is caused from the sets, to prepare the color conversion characteristics again using the acquired set of images.

Abstract: A method for preventing forgery of data according to an embodiment includes determining a noise level based on metadata of original data, generating noise by applying the determined noise level to a preset noise pattern, generating transformed data of the original data by adding the generated noise to the original data, and transmitting the transformed data and the metadata to a server.

Abstract: Systems and methods for sensor-independent illuminant determination are provided. In one embodiment of the method, the method includes receiving one or more training images in raw-RGB format; generating an input histogram from each of the inputted raw images; generating a learned mapping matrix that map raw images to a learned mapping space by passing the one or more input histograms to a trained first machine learning model; generating one or more mapped images by applying the learned mapping matrix to the one or more training images; generating a mapped histogram from each of the mapped images; and determining the result illuminant by passing the one or more mapped histograms as input into a second machine learning model. A final illuminant for an input image can be determined by applying the result illuminant to the input color space of the input image.

Abstract: An inspection device includes an image reader that generates a scan image, an inspector that inspects an inspection target image formed on a storage medium, by comparing a scan image with a reference image, a storage that stores the reference image, and a hardware processor that stores into the storage the reference image generated as the scan image by reading with the image reader an image formed on a recording medium by the image former on a basis of a second print job for generating the reference image, determines whether the reference image stored in the storage satisfies a predetermined condition when a data amount of the reference image stored in the storage becomes equal to or larger than a predetermined amount, and deletes the reference image determined to satisfy the predetermined condition from the storage.

Abstract: An information processing apparatus capable of providing an appropriate IP address to a mobile terminal in which a network service discovery protocol does not function. The information processing apparatus has a plurality of lines assigned with different pieces of address information, and is configured to transmit short-range wireless-communication information, in which address information regarding one line out of the plurality of lines is set, to a communication destination via short-range wireless communication. The information processing apparatus comprises a setting unit configured to preferentially set, into the short-range wireless-communication information, address information regarding a line, out of the plurality of lines, in which a relay device for performing intercommunication between different protocols is provided between the information processing apparatus and the communication destination.

Abstract: A machine learning based image processing architecture and associated applications are disclosed herein. In some embodiments, a machine learning framework is trained to learn low level image attributes such as object/scene types, geometries, placements, materials and textures, camera characteristics, lighting characteristics, contrast, noise statistics, etc. Thereafter, the machine learning framework may be employed to detect such attributes in other images and process the images at the attribute level.