Mitsubishi Electric Corporation

Jfe Steel Corporation

Kohei Kurihara

Daisuke Suzuki

Yoshitaka Toyoda

Koichi Yamashita

Narihiro Matoba

Toshiki Fujino

Masako Asamura

Miki Sugano

Yoshihiko Oda

Hiroaki Nakajima

Tomoyuki Okubo

Shinichi Kitamura

Takeo Fujita

Yusuke Ota

Shotaro Moriya

Kosaku Yamagata

Toru Aoki

Ken Sakai

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.

Infrared image processing device and infrared image processing method

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.

Image processing device, method, image reading device, and recording medium

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.

Infrared imaging device and non-transitory computer-readable storage medium

A background image generator () stores, in a storage device (), a skeleton image obtained by calculating a feature quantity for each of multiple first thermal images (Din) obtained by imaging by a thermal image sensor () 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 () corrects, by using the skeleton image stored in the storage device (), a second thermal image (Din) 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.

Image processing device, thermal image generation system, and recording medium

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 () selects one of the plurality of interpolation calculators based on results of the test interpolation. An outputter () selects the interpolation candidate value outputted from the interpolation calculator selected by the decider (), among the plurality of interpolation candidate values (M(h)), and outputs the selected interpolation candidate value. Interpolation can be performed such that the interpolated pixel does not look unnatural, and yet the storage capacity and the data processing amount that are required are relatively small.

Pixel interpolation device and pixel interpolation method, and image processing device, and program and recording medium

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&#xb0; C., wherein a main constituent of the full-ceramic hearth roll is silicon nitride with use of an Al&#x2014;Y-based sintering aid.

Steel sheet annealing method and steel sheet annealing furnace

There are provided a line sensor () including two first sensor pixel rows () and a second sensor pixel row (); an image obtaining unit () to obtain, from electrical signals obtained by scanning an original in a sub-scanning direction with the two first sensor pixel rows (), 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 (), a second read image data item; and an image processor () to incorporate one or more pixel data items of one or more pixels included in an interval between the two first sensor pixel rows () 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.

Image reading device and image reading method

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.

Image capturing device and line variation noise reduction device

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.

Compound-eye imaging device, image processing method, and recording medium

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.

Image processing device, image processing method, and image capturing device

In the production of a non-oriented electrical stress sheet by hot rolling a steel slab containing, by mass %, C: not more than 0.005%, Si: not more than 8.0%, Mn: 0.03-3.0%, P: not more than 0.2%, S: not more than 0.005%, Al: not more than 3.0%, N: not more than 0.005%, Ni: not more than 3%, Cr: not more than 5%, Ti: not more than 0.005%, Nb: not more than 0.003%, As: not more than 0.005% and O: not more than 0.005%, subjecting to one cold rolling or two or more cold rollings interposing an intermediate annealing therebetween after conducting a hot band annealing or without conducting a hot band annealing and subjecting to a finish annealing, an average heating rate from 600&#xb0; C. to 700&#xb0; C. during the heating process in the finish annealing is set to not less than 50&#xb0; C./sec.

Method for producing non-oriented electrical steel sheets

An image processing device includes: one or more detectors that respectively receive reference images, and each detect, for each pixel in the reference image, a displacement relative to a base image; one or more generators that respectively receive the reference images, and each generate an aligned image by, for each pixel in the reference image, moving the pixel according to the displacement for the pixel and assigning a grayscale value of the pixel to a pixel position closest to the moved pixel; and a combiner that takes each pixel in the base image as a pixel of interest and calculates a grayscale value of a pixel at the same position as the pixel of interest in a combined image by weighting and summing grayscale values of the pixel of interest and pixels at the same position as the pixel of interest in the aligned images.

Image processing device and method, and recording medium

An initial high-resolution image (D) is generated by projection of low-resolution images (DIN) onto a high-resolution image space, an intermediate-resolution image (D) is generated by projection of the low-resolution images (DIN) onto an intermediate-resolution image space, the intermediate-resolution image (D) is interpolated and enlarged to generate an intermediate-resolution enlarged image (D), and the pixel values of the undefined pixels in the initial high-resolution image (D) are estimated using the pixel values of the corresponding pixels in the intermediate-resolution enlarged image (D). It is possible to generate a high-resolution image of a high picture quality with higher accuracy even when less low-resolution images are used.

Image processing apparatus, image processing method, program and recording medium

An image processing apparatus and image processing method enlarge an input image (Din) to generate a low-resolution enlarged image (D). Depending on a result of identification of the pattern of the input image (Din), coefficient data (D) for conversion to a high-resolution are selected, and a feature component (DH) of a low resolution is converted to a feature component (DH) of a high resolution. Decision as to whether or not the pattern of a local region of the input image (Din) is flat is made. If it is flat, the coefficient data are so selected that no substantial alteration is made to pixel values in a high-resolution conversion unit (). It is possible to reduce the circuit size and the memory capacity, and to improve the noise immunity, and achieve conversion to a high resolution suitable for implementation by hardware.

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Tokyo, Japan

Kohei Kurihara