Nec Corporation

Olympus Optical Company, Ltd.

Olympus Medical Systems Corporation

Olympus Corporation

Kyushu University

Masato Toda

Yusuke Yabe

Koji Omori

Tomoya Takahashi

Shinji Yamashita

Takahiro Masaki

Yutaka Shirota

Kenta Senzaki

Daisuke Akiyama

Takashi Shibata

Masato Tsukada

Takeaki Nakamura

Hiroyoshi Miyano

Hitoshi Karasawa

Tetsumaru Kubota

Toshiaki Noguchi

Shinichi Nishigaki

Eiji Kaneko

Tadao Hagino

Masanobu Koitabashi

Minoru Okabe

Keiji Handa

Yusuke Yoshida

Yoshimine Kobayashi

Mototsugu Ogawa

Teruaki Sugata

Hisao Yabe

Yutaka Takahashi

Hiroki Hibino

Takeshi Suga

Sakae Takehana

Ryuichi Akashi

Yoshinao Oaki

Yuichi Yamada

Katsunori Sakiyama

Toshiaki Nishikori

Teruo Eino

Aiko Sakai

Kazuma Kaneko

Atsushi Amano

Yoshihiro Okada

Kyosuke Mizuno

Yoshihito Shimizu

Azusa Sawada

Masaaki Watanabe

Ryo Machida

Yoshikatsu Nagayama

Hiroyuki Kusunoki

Koji Koda

Kazufumi Takamizawa

Tsuguhisa Sasai

Yoshinobu Soeda

Madhuri Mahendra Nagare

Isamu Karasawa

Akira Osawa

Shreya Sharma

Hisatoshi Toriya

Takahiro Hayama

Atsushi Shimada

Hiroyuki Kusnoki

Akihiro Amemiya

Tsubasa Minematsu

Rin-Ichiro Taniguchi

Shirota Yutaka

Takahashi Tomoya

An object is to provide an image processing apparatus capable of appropriately distinguishing changes in an area that have occurred over a period of time. An image processing apparatus may include: a difference image generator means to generate a difference image from input SAR images; an intensity change feature extractor means to extract an intensity-based change feature from the difference image; a speckle change feature extractor means to extract speckle-based change features from the input SAR images; a combined feature extractor means to combine the intensity change feature and the speckle change feature to generate a complete representation of changes; and a classifier means to classify the pixels in several change classes using the combined feature and output a change map.

Image processing apparatus, image processing method and non-transitory computer readable medium

A learning apparatus () according to the present invention includes a detection unit () that detects, as a candidate region of a learning target, a region detected by one of first detection processing of detecting an object region from a predetermined image and second detection processing of detecting a change region from background image information and the image, and not detected by the other, an output unit () that outputs at least a part of the candidate region as a labeling target, and a learning unit () that learns a model for performing the first detection processing or a model for performing the second detection processing by using the labeled candidate region as learning data.

Learning apparatus, learning method, and non-transitory computer-readable medium in which learning program has been stored

A radar image processing device includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: determine a search range based on a reference block and a layover direction, the reference block being set as an area of interest in a radar image generated from data obtained by an imaging radar, the layover direction being a direction in which layover occurs in the radar image and being estimated from an incident direction of an electromagnetic wave used for observation by the imaging radar; extract a similar block that is similar to the reference block and included in the search range by searching the search range; and perform filtering processing for reducing speckles generated in the radar image by using the reference block and the extracted similar block.

Radar image processing device, radar image processing method, and storage medium

An information processing apparatus () according to the present disclosure includes: an object recognition unit () that outputs, by using a first modal signal and a first modal recognition model corresponding to the first modal signal, an inference result regarding the first modal signal; a training data processing unit () that generates first modal training data regarding the first modal signal by using the inference result, and updates second modal training data regarding a second modal signal that is different from the first modal signal by using the first modal training data; and a recognition model update unit () that updates a second modal recognition model corresponding to the second modal signal by using the second modal training data.

Information processing apparatus, information processing method, and non-transitory computer readable medium

An image processing device () according to the present invention is provided with: a visibility index computation means () which, upon receiving two or more images to be merged, computes, for each image to be merged, a visibility index, which is an index relating to the visibility of an object to be viewed in the image, on the basis of a contrast value of the image and the amount of noise included in the image, wherein the two or more images to be merged have different characteristics and have at least an overlap region; a merge ratio computation means () which computes an image merge ratio between the images to be merged, on the basis of the computed visibility indices; and an image merging means () which merges the images to be merged, on the basis of the computed merge ratio, to generate a merged image.

Image processing device, image processing method, and image processing program

An image processing system includes a storage device, and a processor coupled to the storage device and configured to extract, from an input image, an aerosol spectrum across a plurality of wavelength bands of the input image. The storage device contains therein a database storing a plurality of predetermined aerosol spectra, and a plurality of corresponding values associated with an aerosol optical property at the plurality of wavelength bands. The processor is further configured to retrieve, from the database, values associated with the aerosol optical property at the plurality of wavelength bands, the retrieved values corresponding to the extracted aerosol spectrum. The processor is further configured to correct the input image, by using the retrieved values associated with the aerosol optical property at the plurality of wavelength bands, to generate a corrected image.

System, method, and non-transitory, computer-readable medium containing instructions for image processing

The invention enables image processing of visible light and near-infrared light using an imaging device. An acquisition unit () acquires an image signal representing an image including near-infrared light that has an intensity according to a pattern having a prescribed geometric shape. A signal processing unit () uses pattern information which defines the pattern to output, a color signal representing visible light components corresponding to the image signal and a near-infrared signal representing near-infrared light components corresponding to the image signal.

Color signal and near-infrared signal generated by using pattern information defining intensity-corresponding pattern

The present invention provides an image processing method, an image processing device, and an image processing program which require low computing costs and with which it is possible to minimize noise amplification and halo generation caused by HDR. An image processing device according to one embodiment of the present invention has: a multi-resolution image generation means for generating a multi-resolution image; a correction amount calculation means for calculating a brightness correction amount on the basis of a lowest-resolution image of the multi-resolution image, a differential image between adjacent resolutions of the multi-resolution image, and edge information calculated at each resolution of the multi-resolution image; and a noise suppression means for calculating, on the basis of the lowest-resolution image, the differential image between adjacent resolutions, the edge information, and the brightness correction amount, an image after brightness correction in which a noise component is suppressed.

Image brightness correction and noise suppression method, device, and recording medium for storing image processing program

An image processing device includes: an estimation unit configured to estimate a spectral reflectance ratio at each pixel position in a visible light image and a near infrared image in which an object of photographing is photographed, the spectral reflectance ratio indicating a ratio of a spectral reflectance of a visible light wavelength region to a spectral reflectance of a near infrared light wavelength region; and a restoration unit configured to multiply an estimated spectral reflectance ratio by luminance of the near infrared image at each pixel position and generate a restored visible light image.

Image processing device, image processing method, and recording medium

When performing noise removal of an image signal by applying the background art, there is a case where a filter coefficient that causes an edge constituting the image to become blurred against expectation due to the influence of noise in the image signal is set. The methods to solve this problem include a method for calculating a wide range of image feature values needed for correction of the filter coefficient, but this method has the problem that it requires a significant amount of calculation, thus increasing the calculation cost. To solve the above problem, the present invention is provided with an image signal input means, a wavelet transformation means, a first structure/texture separating means, a texture component degenerating means, a first combining means, an inverse wavelet transformation means, and a second structure/texture separating means. The present invention is further provided with a second texture component degenerating means, a second combining means, and an image signal output means.

Image signal processing apparatus, image signal processing method and image signal processing program

In order to properly detect an outbreak of smoke using a photographic image, this detection device is equipped with an extraction unit, a calculation unit, and a detection unit. By using an image analysis result of an input image, that is, a photographic image captured of a scene under surveillance, the extraction unit generates an image for which a noise component is removed from the input image. By using brightness information contained in the generated image, the calculation unit calculates an attenuation factor of reflected light from a captured object in the input image. The detection unit determines whether an outbreak of smoke is present in the scene under surveillance based on the attenuation factor.

Smoke detection device, smoke detection method, and program recording medium

An endoscope apparatus includes: first and second cooling units configured to cool first and second light source portions; an image pickup portion configured to generate a picked-up image; and a cooling control portion configured to control amounts of light emission of the light source portions while maintaining an amount-of-light ratio so that the brightness of the picked-up image becomes the target brightness and control cooling based on the information about the amount-of-light ratio and the brightness control information; wherein the cooling control portion decides a cooling capacity of the first cooling units and a cooling capacity of the second cooling units for cooling the respective light source portions for which the amounts of light emission are controlled, at the cooling ratio, so as to cause the light source portions to be included within a predetermined temperature range, based on the brightness control information.

Endoscope apparatus

An endoscope system including a control section that controls an LED driving section to supply driving currents to LEDs of a plurality of colors to cause the LEDs to emit lights in a frame-sequential manner and a processor that divides a total exposure period in one frame period of the frame-sequential light emission into ratios of light emission periods for each of the respective colors obtained by dividing light amount ratios of the lights of the plurality of colors, which should be received in a CCD, respectively by respective maximum light emission intensities of the LEDs of the plurality of colors and sets respective maximum light emission periods of the LEDs of the plurality of colors.

Endoscope system with frame-sequential light emission

The present invention provides an image processing apparatus including a skeleton component separation unit configured to separate a skeleton component illustrating a perspective structure from a source image, a mist/fog correction unit configured to calculate, based on color information in each color channel of the skeleton component, a correction factor that lowers brightness of a pixel as the pixel is brighter and correct, based on the correction factor, brightness of each pixel of the source image, and a brightness restoration unit configured to restore brightness of the brightness-corrected source image to brightness of environmental light as target brightness.

Image processing apparatus, image processing method, and program capable of performing high quality mist/fog correction

A light source apparatus includes a cooling device configured to be able to cool a semiconductor light-emitting device, a light-emitting device drive section that supplies a semiconductor light-emitting device drive signal to the semiconductor light-emitting device, a cooling device drive section that supplies a cooling device drive signal to the cooling device, a semiconductor light-emitting device drive control section that sets a duty ratio of the semiconductor light-emitting device drive signal and controls an amount of light emission of the semiconductor light-emitting device, and a cooling device drive control section that generates the cooling device drive signal having a same duty ratio as the duty ratio of the semiconductor light-emitting device drive signal and having timing synchronized with the semiconductor light-emitting device drive signal and adjusts a signal level of the cooling device drive signal based on a measurement result of a temperature of the semiconductor light-emitting device.

Light source apparatus and endoscope apparatus

Growing community of inventors

Hachioji, Japan

Masato Toda