Abstract: The infrared image processing device includes a thermal image sensor that receives infrared rays and outputs a signal corresponding to the infrared rays, a thermal image generation unit that generates a plurality of thermal images based on the signal, a smoothing processing unit that performs a smoothing process on each pixel of each of the plurality of thermal images by using a pixel value of a vicinal pixel, thereby calculating a plurality of smoothed images and calculating smoothed pixel values that are each image's pixel values after undergoing the smoothing, a correction coefficient calculation unit that calculates a correction coefficient set including a first correction coefficient and a second correction coefficient from the thermal images and the smoothed images, and a thermal image correction unit that corrects the thermal images by using the correction coefficient set.

Abstract: An inundated area dividing unit divides an inundated area into one or more divided areas based on a boundary indicated in inundation estimation data indicating the boundary where a water level changes when inundation occurs. For each of the one or more divided areas, a water level calculation unit calculates the water level in a subject divided area, from an elevation of a boundary area of the subject divided area. A depth calculation unit calculates a flood depth at a subject point, from the elevation at the subject point and the water level in the divided area including the subject point.

Abstract: A local variance or an edge amount is calculated as an image feature amount by analyzing a reference image of the same field of view as multiple band images constituting a multispectral image, a filter parameter is calculated from the image feature amount, and smoothing the band images while preserving edges is performed by using the filter parameter. When a multispectral image including a band image of a wavelength band in which a sufficient signal amount is not obtained is obtained, it is possible to improve the S/N ratio of the multispectral image without destroying edges.

Abstract: Provided is an infrared imaging device capable of reducing streak noise by calculating correction coefficients for correcting streak noise from a single image. The infrared imaging device includes: a thermal image generator to generate a single thermal image on the basis of a signal from a thermal image sensor; a correction coefficient calculator to calculate multiple correction coefficients included in a correction equation for converting pixel values of pixels included in the single thermal image into target values in which streak noise is reduced; and a thermal image corrector to correct a thermal image generated by the thermal image generator by using the multiple correction coefficients, wherein the correction coefficient calculator calculates the multiple correction coefficients on the basis of difference between pixel values of pixels arranged in a direction in which the streak noise occurs in the single thermal image.

Abstract: A background image generator (21) stores, in a storage device (3), a skeleton image obtained by calculating a feature quantity for each of multiple first thermal images (Din1) obtained by imaging by a thermal image sensor (1) in the same field of view or multiple sorted images (Dc) generated from the first thermal images, generating an average image from the first thermal images or sorted images, sharpening the average image, and then extracting a skeleton component. An image corrector (22) corrects, by using the skeleton image stored in the storage device (3), a second thermal image (Din2) obtained by imaging by the thermal image sensor in the same field of view as the first thermal images, thereby generating a corrected thermal image. It is possible to generate a sharp thermal image with a high S/N ratio.

Abstract: A first group of interpolation calculators performing interpolation by mean preserving interpolation calculation, and a second group of interpolation calculators performing interpolation by interpolation other than the mean preserving interpolation calculation are provided. Each of the interpolation calculators performs interpolation calculation for the missing pixel to calculate an interpolation candidate value (M(h)), and calculates test interpolation values (M(t)) treating pixels in a vicinity of the missing pixel as test pixels. A decider (4) selects one of the plurality of interpolation calculators based on results of the test interpolation. An outputter (5) selects the interpolation candidate value outputted from the interpolation calculator selected by the decider (4), among the plurality of interpolation candidate values (M(h)), and outputs the selected interpolation candidate value.

Abstract: The infrared image processing device includes a thermal image sensor that receives infrared rays and outputs a signal corresponding to the infrared rays, a thermal image generation unit that generates a plurality of thermal images based on the signal, a smoothing processing unit that performs a smoothing process on each pixel of each of the plurality of thermal images by using a pixel value of a vicinal pixel, thereby calculating a plurality of smoothed images and calculating smoothed pixel values that are each image’s pixel values after undergoing the smoothing, a correction coefficient calculation unit that calculates a correction coefficient set including a first correction coefficient and a second correction coefficient from the thermal images and the smoothed images, and a thermal image correction unit that corrects the thermal images by using the correction coefficient set.

Abstract: A method of annealing a steel sheet in an annealing furnace, including: supporting and conveying a steel sheet with hearth rolls; and supporting and conveying the steel sheet with a full-ceramic hearth roll as a hearth roll located in an area where a furnace temperature is equal to or higher than 950° C., wherein a main constituent of the full-ceramic hearth roll is silicon nitride with use of an Al—Y-based sintering aid.

Abstract: There are provided a line sensor (110) including two first sensor pixel rows (111a, 111b) and a second sensor pixel row (112a); an image obtaining unit (140) to obtain, from electrical signals obtained by scanning an original in a sub-scanning direction with the two first sensor pixel rows (111a, 111b), two first read image data items, and obtain, from electrical signals obtained by scanning the original in the sub-scanning direction with the second sensor pixel row (112a), a second read image data item; and an image processor (150) to incorporate one or more pixel data items of one or more pixels included in an interval between the two first sensor pixel rows (111a, 111b) out of the second read image data item into the two first read image data items, thereby generating a line image data item in which the one or more pixels in the interval are not vacant.

Abstract: There are provided a line sensor (110) including two first sensor pixel rows (11a, 111b) and a second sensor pixel row (112a); an image obtaining unit (140) to obtain, from electrical signals obtained by scanning an original in a sub-scanning direction with the two first sensor pixel rows (111a, 111b), two first read image data items, and obtain, from electrical signals obtained by scanning the original in the sub-scanning direction with the second sensor pixel row (112a), a second read image data item; and an image processor (150) to incorporate one or more pixel data items of one or more pixels included in an interval between the two first sensor pixel rows (111a, 111b) out of the second read image data item into the two first read image data items, thereby generating a line image data item in which the one or more pixels in the interval are not vacant.

Abstract: A local variance or an edge amount is calculated as an image feature amount by analyzing a reference image of the same field of view as multiple band images constituting a multispectral image, a filter parameter is calculated from the image feature amount, and smoothing the band images while preserving edges is performed by using the filter parameter. When a multispectral image including a band image of a wavelength band in which a sufficient signal amount is not obtained is obtained, it is possible to improve the S/N ratio of the multispectral image without destroying edges.

Abstract: A background image generator (21) stores, in a storage device (3), a skeleton image obtained by calculating a feature quantity for each of multiple first thermal images (Din1) obtained by imaging by a thermal image sensor (1) in the same field of view or multiple sorted images (Dc) generated from the first thermal images, generating an average image from the first thermal images or sorted images, sharpening the average image, and then extracting a skeleton component. An image corrector (22) corrects, by using the skeleton image stored in the storage device (3), a second thermal image (Din2) obtained by imaging by the thermal image sensor in the same field of view as the first thermal images, thereby generating a corrected thermal image. It is possible to generate a sharp thermal image with a high S/N ratio.

Abstract: Provided is an infrared imaging device capable of reducing streak noise by calculating correction coefficients for correcting streak noise from a single image. The infrared imaging device includes: a thermal image generator to generate a single thermal image on the basis of a signal from a thermal image sensor; a correction coefficient calculator to calculate multiple correction coefficients included in a correction equation for converting pixel values of pixels included in the single thermal image into target values in which streak noise is reduced; and a thermal image corrector to correct a thermal image generated by the thermal image generator by using the multiple correction coefficients, wherein the correction coefficient calculator calculates the multiple correction coefficients on the basis of difference between pixel values of pixels arranged in a direction in which the streak noise occurs in the single thermal image.

Abstract: A first group of interpolation calculators performing interpolation by mean preserving interpolation calculation, and a second group of interpolation calculators performing interpolation by interpolation other than the mean preserving interpolation calculation are provided. Each of the interpolation calculators performs interpolation calculation for the missing pixel to calculate an interpolation candidate value (M(h)), and calculates test interpolation values (M(t)) treating pixels in a vicinity of the missing pixel as test pixels. A decider (4) selects one of the plurality of interpolation calculators based on results of the test interpolation. An outputter (5) selects the interpolation candidate value outputted from the interpolation calculator selected by the decider (4), among the plurality of interpolation candidate values (M(h)), and outputs the selected interpolation candidate value.

Abstract: An image capturing device includes an image sensor and processing circuitry. The processing circuitry calculates a pixel value fluctuation amount as a fluctuation amount of each of the pixel values; calculates a line fluctuation amount as an average value of N pixel value fluctuation amounts of N pixels; calculates a variance value of the N pixel value fluctuation amounts from the N pixel value fluctuation amounts and the line fluctuation amount; calculates a movement adaptive weight based on the variance value; calculates a line fluctuation noise correction amount, corresponding to each of the pixel values outputted from the image sensor, from the line fluctuation amount and the movement adaptive weight; and corrects each of the pixel values outputted from the image sensor by using the line fluctuation noise correction amount and thereby generates an image signal after the correction.

Abstract: An image capturing device includes an image sensor and processing circuitry. The processing circuitry calculates a pixel value fluctuation amount as a fluctuation amount of each of the pixel values; calculates a line fluctuation amount as an average value of N pixel value fluctuation amounts of N pixels; calculates a variance value of the N pixel value fluctuation amounts from the N pixel value fluctuation amounts and the line fluctuation amount; calculates a movement adaptive weight based on the variance value; calculates a line fluctuation noise correction amount, corresponding to each of the pixel values outputted from the image sensor, from the line fluctuation amount and the movement adaptive weight; and corrects each of the pixel values outputted from the image sensor by using the line fluctuation noise correction amount and thereby generates an image signal after the correction.

Abstract: A compound-eye imaging device includes a camera device and a processor including a resolution enhancer. The camera device includes an imaging element including imaging regions including at least one imaging region of a first type and imaging regions of a second type smaller than the imaging region of the first type; lenses to image images of the same field of view onto the imaging regions; and optical filters provided so that an image acquired in each of the imaging regions of the second type represents a different type of information from an image acquired in each of the at least one imaging region of the first type. The resolution enhancer receives the image acquired in one of the at least one imaging region of the first type and the image acquired in one of the imaging regions of the second type, and generates a high-resolution image from the acquired images.

Abstract: A method of annealing a steel sheet in an annealing furnace, including: supporting and conveying a steel sheet with hearth rolls; and supporting and conveying the steel sheet with a full-ceramic hearth roll as a hearth roll located in an area where a furnace temperature is equal to or higher than 950° C., wherein a main constituent of the full-ceramic hearth roll is silicon nitride with use of an Al—Y-based sintering aid.

Abstract: An image processing device includes an invisible image filter separator that separates an invisible detail component, a visible image filter separator that separates a visible base component and a visible detail component, a base luminance color separator that separates a visible luminance base component and a visible color base component, a detail luminance color separator that separates a visible luminance detail component, a detail synthesizer that generates a synthetic luminance detail component, a synthetic luminance component generator that generates a synthetic luminance component, and a luminance color synthesizer that generates a synthetic image.

Abstract: A compound-eye imaging device includes a camera device and a processor including a resolution enhancer. The camera device includes an imaging element including imaging regions including at least one imaging region of a first type and imaging regions of a second type smaller than the imaging region of the first type; lenses to image images of the same field of view onto the imaging regions; and optical filters provided so that an image acquired in each of the imaging regions of the second type represents a different type of information from an image acquired in each of the at least one imaging region of the first type. The resolution enhancer receives the image acquired in one of the at least one imaging region of the first type and the image acquired in one of the imaging regions of the second type, and generates a high-resolution image from the acquired images.