Abstract: Provided are a colored resin particle dispersion containing colored resin particles and water, in which the colored resin particles contain a water-insoluble chain polymer and at least one dye selected from the group consisting of an oil-soluble dye, a disperse dye and a vat dye, and the water-insoluble chain polymer has a structure represented by the following General Formula (G), a cyclic structure, and a hydrophilic group, an ink manufactured using the colored resin particle dispersion, an ink set having the ink, an inkjet printing method using the ink, and a method of manufacturing the colored resin particle dispersion. In the General Formula (G), Rg represents a hydrogen atom or a substituent, Lg represents —O—, —S—, or —NRz-, Rz represents a hydrogen atom or a substituent, and * represents a bonding position.

Abstract: A vital data measuring method includes: acquiring image data of a subject to be measured, wherein the image data are captured by a camera; analyzing the motion of the subject on the basis of the image data of the subject; starting measurement on vital data of the subject using a predetermined range of the image data of the subject in response to the detection of a certain pose of the subject based on an analysis; and outputting measurement results of the vital data of the subject.

Abstract: An image processing apparatus including a memory and a processor is provided. The image processing apparatus is configured to perform selecting one of data compression processing modes in response to a user input, and executing, according to the selected data compression processing mode, data compression processing on an input captured image based on an inter-frame prediction. The image processing apparatus is further configured perform generating a compressed image from the executed data compression processing. A group of pictures with respect to the generated compressed image is different according to the data compression processing modes. When receiving a request for acquiring vital information from a person captured in the input captured image, one of the data compression processing modes is selected so that the generated compressed image is configured by I pictures only.

Abstract: A feature region tracking process method includes temporarily stopping the output of camera images being successively acquired; accumulating, as accumulated image data, respective camera images that are successively acquired after the time of temporal stoppage, starting from the time of temporal stoppage; accepting position designation in a camera image being output at the time of temporal stoppage; and, when the position designation has been accepted, performing a tracking process in sequence on a feature region in the camera images included in the accumulated image data from the camera image acquired at the time of temporal stoppage to the latest camera image, using the designated position as the feature region.

Abstract: An image processing apparatus including a memory and a processor is provided. The image processing apparatus is configured to perform selecting one of data compression processing modes in response to a user input, and executing, according to the selected data compression processing mode, data compression processing on an input captured image based on an inter-frame prediction. The image processing apparatus is further configured perform generating a compressed image from the executed data compression processing. A group of pictures with respect to the generated compressed image is different according to the data compression processing modes. When receiving a request for acquiring vital information from a person captured in the input captured image, one of the data compression processing modes is selected so that the generated compressed image is configured by I pictures only.

Abstract: Image processing apparatus is provided with data compression processing unit that executes data compression processing on an input captured image based on inter-frame prediction; and operation-mode selection unit that is capable of selecting one of a first operation mode for normal imaging and a second operation mode for pulse estimation based on a command from a user. In a case where the second operation mode is selected, data compression processing unit sets an interval between I pictures constituting a compressed image generated by the data compression processing to an interval to be different from that in a case where the first operation mode is selected.

Abstract: Identification medium recognition device (3) includes image input (11) that acquires a captured image imaged by an imaging device, identification medium region detector (12) that detects a region of the identification medium from the captured image, identification medium recognizer (18) that recognizes the character and/or the numeric character included in the identification medium from the region of the identification medium, super-resolution processor (17) that selectively performs super-resolution processing of the region of the identification medium, region storage (14) that stores a preset region in the captured image, identification medium region determiner (13) that determines whether the region of the identification medium is positioned within the preset region, and super-resolution processing selector (16) that selects, in a case where it is determined that the region of the identification medium is positioned within the preset region, execution of super-resolution processing by the super-resolution

Abstract: There is provided is a method for enhancing a video image capable of achieving high image quality improvement for both a texture area and an edge area. A maximum limit value and a minimum limit value of a video signal value enhanced on the basis of a pixel signal value in an area set around the target pixel are calculated, the maximum limit value and the minimum limit value are corrected according to a texture value calculated as a scale value that indicates a variation of the pixel signal value in the corresponding area, and the corrected maximum limit value and minimum limit value are applied to the enhanced video signal value.

Abstract: Image processing apparatus is provided with data compression processing unit that executes data compression processing on an input captured image based on inter-frame prediction; and operation-mode selection unit that is capable of selecting one of a first operation mode for normal imaging and a second operation mode for pulse estimation based on a command from a user. In a case where the second operation mode is selected, data compression processing unit sets an interval between I pictures constituting a compressed image generated by the data compression processing to an interval to be different from that in a case where the first operation mode is selected.

Abstract: A biological information detection device includes an image input that inputs image data captured by an observed person, an image region divider that divides the image data into a plurality of regions, a biological determiner that determines presence or absence of detection of biological information to be estimated as a pulse wave of a person in each of the divided regions, a biological information and position storage that obtains detected biological information and the position information of the region in which the biological information is detected, and stores the biological information and the position information.

Abstract: Identification medium recognition device (3) includes image input (11) that acquires a captured image imaged by an imaging device, identification medium region detector (12) that detects a region of the identification medium from the captured image, identification medium recognizer (18) that recognizes the character and/or the numeric character included in the identification medium from the region of the identification medium, super-resolution processor (17) that selectively performs super-resolution processing of the region of the identification medium, region storage (14) that stores a preset region in the captured image, identification medium region determiner (13) that determines whether the region of the identification medium is positioned within the preset region, and super-resolution processing selector (16) that selects, in a case where it is determined that the region of the identification medium is positioned within the preset region, execution of super-resolution processing by the super-resolution

Abstract: There is provided is a method for enhancing a video image capable of achieving high image quality improvement for both a texture area and an edge area. A maximum limit value and a minimum limit value of a video signal value enhanced on the basis of a pixel signal value in an area set around the target pixel are calculated, the maximum limit value and the minimum limit value are corrected according to a texture value calculated as a scale value that indicates a variation of the pixel signal value in the corresponding area, and the corrected maximum limit value and minimum limit value are applied to the enhanced video signal value.

Abstract: An image noise removing apparatus which removes, after removal of noise from a first image, noise included in a second image includes: a spatial noise removing unit executing an operation for removing the noise included in the second image using a pixel value included in the second image, thereby generating a spatial noise-free image; a reliability calculating unit calculating a reliability indicating how dynamic the second image is, based on the spatial noise-free image, the second image, and a first noise-free image which is generated from the first image with the noise therein removed; and a temporal blending unit performing, based on the reliability, a weighted summation on the second image and the first noise-free image, thereby removing the noise included in the second image.

Abstract: Included are (a) performing processes on second training data items stored in a training database to generate third training data items each obtained through a corresponding one of the processes, (b) selecting, from among the third training data items generated in step (a), a selection data item having a highest similarity to a feature data item of the input image, (c) generating a high-frequency data item by: determining (i) the second training data item used in generating the selection data item and (ii) a first process performed on the second training data item to generate the selection data item; and performing the first process on the first training data item that is paired with the determined second training data item; and (d) generating an output image by adding an image indicated by the high-frequency data item to the input image.

Abstract: An image processing device preventing the effect of noise from restricting the processing range of the super resolution process. The image processing device classifies each of a plurality of pieces of input pixel data that represent the input image into high-frequency region data or non-high-frequency region data, and generates, as at least part of output pixel data that represents the output image, one or more pieces of output pixel data in correspondence with one or more pieces of input pixel data classified as the high-frequency region data, by using the super resolution process data in accordance with amounts of noise of the one or more pieces of input pixel data.

Abstract: An image noise removing apparatus which removes, after removal of noise from a first image, noise included in a second image includes: a spatial noise removing unit executing an operation for removing the noise included in the second image using a pixel value included in the second image, thereby generating a spatial noise-free image; a reliability calculating unit calculating a reliability indicating how dynamic the second image is, based on the spatial noise-free image, the second image, and a first noise-free image which is generated from the first image with the noise therein removed; and a temporal blending unit performing, based on the reliability, a weighted summation on the second image and the first noise-free image, thereby removing the noise included in the second image.

Abstract: An image processing device preventing the effect of noise from restricting the processing range of the super resolution process. The image processing device classifies each of a plurality of pieces of input pixel data that represent the input image into high-frequency region data or non-high-frequency region data, and generates, as at least part of output pixel data that represents the output image, one or more pieces of output pixel data in correspondence with one or more pieces of input pixel data classified as the high-frequency region data, by using the super resolution process data in accordance with amounts of noise of the one or more pieces of input pixel data.

Abstract: A spatial noise reducing section 20 calculates a spatial NR pixel value Snr by reducing spatial noise from an input pixel value Pin. A temporal noise reducing section 30 calculates a temporal NR pixel value Tnr by reducing temporal noise from the input pixel value Pin. A temporal noise reduction result determining section 50 compares the magnitude of the pixel values among the input pixel value Pin, the spatial NR pixel value Snr, and the temporal NR pixel value Tnr, and outputs, based on the comparison result, one of the pixel values as a noise reduction result (an output pixel value Pout). Thus, it is made possible to perform strong temporal noise reduction on a moving image while preventing generation of residual images in a motion image area.

Abstract: A moving picture coding method, a moving picture decoding method, a moving picture coding device, and a moving picture decoding device perform skipped display even in a moving picture decoding device having insufficient processing capability and while suppressing an increase in an amount of coded data. A plurality of combined pictures are generated each of which is generated by combining a plurality of pictures into a combined picture having the plurality of pictures as regions. The plurality of the combined pictures is coded and a slice boundary between the regions is set in the combined picture. For each of the plurality of combined pictures, when the combined picture has one or more to-be-displayed region except at least one not-to-be-displayed region, the to-be-displayed region is coded with reference to only a to-be-displayed region of another combined picture. The one or more to-be-displayed region is displayed for skipped reproduction.

Abstract: The decode control unit (103) has control over a video decode unit (101) so as to cause the video decode unit (101), which decoded images obtained from respective normal coded data items and high-speed coded data items, to start decoding of some of the normal coded data items with timings which are ahead of predetermined timings so that the video decode unit (101) starts decoding of the beginning one of the high-speed coded data items with a timing which is ahead of a predetermined timing by a period of time necessary for the display unit (105) to display the images sequentially.