Mitsubishi Electric Corporation

Mitsubishi Denki Kabushiki Kaisha

Tomonori Fukuta

Yoshiko Hatano

Junko Shinohara

Nobuhiko Yamagishi

Tetsuya Kuno

Isao Otsuka

Yudai Nakamura

Naoyuki Fujiyama

Junji Sukeno

Yuka Tsuda

Yoshiaki Kato

Kazuhiro Tanaka

Osamu Nasu

Masahiro Naito

Kiyoyasu Maruyama

Hironobu Yasui

Toshiyuki Shimizu

Koji Minami

Satoshi Michihata

Masashi Kamiya

Satoko Miki

Masahide Koike

Takashi Hatakenaka

A luminance variation (dI) pertaining to each pixel is calculated () using a plurality of captured images obtained by image capturing under different illumination conditions, a texture variation (dF) pertaining to each pixel is calculated () using a plurality of captured images obtained by image capturing at different time points, and a subject region is extracted () based on the luminance variation (dI) and the texture variation (dF). A variation in the texture feature (F) pertaining to each pixel between the images is calculated as the texture variation (dF). The subject can be extracted with a high accuracy even when there are changes in the ambient light or the background.

Imaging apparatus and method, operation apparatus and method, and program and recording medium

A hand region is detected in a captured image, and for each part of the background area, a light source presence degree indicating the probability that a light source is present is determined according to the luminance or color of that part; on the basis of the light source presence degree, a region in which the captured image is affected by a light source is estimated, and if the captured image includes a region estimated to be affected by a light source, whether or not a dropout has occurred in the hand region in the captured image is decided; on the basis of the result of this decision, an action is determined. Gesture determinations can be made correctly even when the hand region in the captured image is affected by a light source at the time of gesture manipulation input.

Gesture manipulation device and method, program, and recording medium

A slave device is equipped with: a parameter setting portion for setting different values according to the content of commands sent from a master device, as parameter values for detecting anomalies; and an anomaly detecting portion for detecting anomalies by comparing the time corresponding to a parameter value that has been set by the parameter setting portion and the measured time of a process carried out in response to a command.

Slave device, master device, and communication method

An image processing device includes: a calculator that calculates a gray scale histogram for each color component of an image signal; a calculator that calculates, for each color component, a maximum and a minimum of classes having a frequency greater than zero in the gray scale histogram; a determiner that generates, for each color component, a histogram having classes each having an absolute difference value between the frequencies of adjacent classes in the gray scale histogram, and compares the absolute difference values in the histograms with a value to determine, from the presence or absence of an absolute difference value exceeding the value, an image type of the image; a generator that generates a gray scale correction curve from the calculated maximum and minimum for each color component; and a corrector that performs gray scale correction on the image signal using the gray scale correction curve.

Image processing device and image processing method

In an image processing apparatus, maximum values and minimum values of the classes of respective color components are calculated; the largest value among the maximum values of the color components is found as an all-color maximum value, color correction curves are generated, on the basis of the maximum and minimum values of the respective color components and the all-color maximum value, for color components other than the color component whose maximum value is equal to the all-color maximum value, and the color correction curves are used to perform corrections on the respective color components of the image signal. The color correction curves are generated for performing corrections such that, after the corrections, the maximum value of each color component is approximately equal to the all-color maximum value. Alternatively, the color correction curves are generated for performing corrections such that, after the corrections, the minimum value of each color component is approximately equal to an all-color minimum value. Color casts arising from lighting effects at the time of imaging are corrected, and image contrast can be heightened.

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

The image update timings of a plurality of display devices are adjusted by calculating, in their image reproduction/updating control means (), the phase difference between a synchronization adjustment signal (SAS) created from synchronization adjustment data (SAD) received from the transmitting apparatus TA by a data reception means () and an image display control signal (HC) output to the image display means (), and increasing or decreasing the period of the next and subsequent image display control signals (HC) according to the phase difference, thereby reducing the phase difference. Image updating in the plurality of display devices can be synchronized to within a fixed tolerance range.

Multi-screen display system

Provision is made for obtaining a high-quality image with noise, such as ringing, reduced. An image processing device includes an image correction means for applying image-shake correction processing to an input image; a correction-image characteristic detection means for detecting a characteristic of a correction image obtained through the image-shake correction processing; a first characteristic-determination means for outputting selection information, based on a characteristic-detected correction image obtained through detection of the characteristic of the correction image; and an image outputting means for outputting the input image or the correction image, based on the selection information. As a result, it is made possible to obtain a high-quality image with noise reduced.

Image processing device, image processing method, and information terminal apparatus

Included are: a prefilter () for outputting, based on filter characteristics control data, predetermined frequency components in an input video signal as current image data; encoding means () for subjecting the current image data to an encoding process, and outputting encoding parameters together with a bit stream corresponding to current image data as a result of the encoding process; and filter control means () for outputting the filter characteristics control data that is set based only on one or two of the encoding parameters.

Video signal encoding device and video signal encoding method

One of a plurality of items of control-data-for-synthesis (GC) is read from a storage () at a timing based on a moving-image control signal (GC), an image-data-for-synthesis (GG) associated with the read control-data-for-synthesis (GC) is read from the storage () in accordance with the read control-data-for-synthesis (GC), and processing to synthesize one frame of the moving-image data (GG) and the read image-data-for-synthesis (GG) is performed. These processing steps are repeated to produce composite moving-image data (GG).

Growing community of inventors

Tokyo, Japan

Tomonori Fukuta