Canon Kabushiki Kaisha

Samsung Display Co., Ltd.

Fujitsu Corporation

Kabushiki Kaisha Toshiba

Ichikoh Industries, Ltd.

Fujitsu Yamanashi Electronics Limited

Kazuhiro Matsumoto

Masahiko Takiguchi

Osamu Tsujii

Satoshi Uchino

Yasuhiko Shinkaji

Hiroyuki Shinbata

Nobuhiro Tomatsu

Hiroshi Nishihara

Yuichi Nishii

Etsuro Machida

Tomohiro Suzuki

Tadashi Okamoto

Yoshimi Kohayakawa

Nobuhito Suehira

Nobuko Yamamoto

Kenichi Suzuki

Jun Hanari

Takeshi Miyagi

Takashi Masuda

Motoya Takai

Hiroyuki Urushiya

Takeshi Kitamura

Nagahisa Furutani

Tetsuji Ogawa

Shinya Tanaka

Masahiko Okunuki

Shoichi Yamazaki

Hajime Nakajima

Ayako Takagi

Katsumi Hisano

Tsukasa Sako

Yoshitaka Fukuoka

Kazunori Iwasaki

Takeshi Okuno

Hideo Iwasaki

Tomohiko Matsuura

Tomiya Sasaki

Keiji Ohkoda

Katsushi Kato

Shinsuke Hayashida

Kenichi Hayakawa

Kazunobu Kobayashi

Hidero Matsumoto

Tomohiro Kudo

Kunio Yoshihara

Yutaka Hirano

Junichi Yamayoshi

Yuji Katashiba

Tadahiko Yanashima

Keiji Okoda

Yoshitaka Abe

Nobushi Iwashita

Hirofumi Katsuse

Masahiro Hiruta

Masafumi Kobayashi

Junichi Kudo

Isao Imai

Koji Yazawa

Ayako Tohdake

Yumi Fuchida

A neural network processing device includes: a convolution part which receives an input signal and a learning completion weight parameter, performs a convolution operation on the input signal and the learning completion weight parameter, and outputs a convolution signal that is a result value of the convolution operation; a batch adjustment which receives the convolution signal and a learning completion normalization parameter, and outputs an adjustment signal obtained by adjusting an output deviation of the convolution signal; and an activation part which converts the adjustment signal into an output signal based on an activation function.

Neural network processing device

A sensor controller includes a neural network processing unit to receive a sensing signal from an input sensor and to output one of a first sensing result and a second sensing result using a prediction model. The sensor controller further includes a first input processing unit and a second input processing unit. The first input processing unit is to receive the first sensing result and to determine whether a first input is present based on the first sensing result. The second input processing unit is to receive the second sensing result and to calculate a coordinate signal for a second input based on the second sensing result.

Sensor controller including a neural network processor to receive sensing signals and to output a sensing result, and display device including the same

An electronic device includes a display panel, a sensor layer disposed on the display panel and including a plurality of sensing electrodes, and a sensor driver connected with the plurality of sensing electrodes to drive the sensor layer. The sensor driver includes a plurality of analog-to-digital converters that samples an input signal received from the outside by the sensor layer. The plurality of analog-to-digital converters is connected one-to-one with the plurality of sensing electrodes.

Electronic device

A sensor including: a sensor layer including a first electrode and a second electrode; a signal detection circuit configured to convert a sensing signal received from the sensor layer into data; a signal state detector configured to detect a state of the sensing signal based on the data; a signal restorer configured to output restoration data by restoring the data depending on the state of the sensing signal; and a coordinate calculator configured to calculate coordinates corresponding to the sensing signal based on the data or the restoration data, wherein the signal restorer restores the data into the restoration data by using a 2-dimensional (2D) normal distribution waveform.

Sensor and a driving method thereof

A display device includes a display panel, an input sensing layer disposed on the display panel and which outputs a sensing signal in response to an external input and an approach of an object, and a sensing controller which controls a drive of the input sensing layer and receives the sensing signal from the input sensing layer. The sensing controller includes a location sensing block which generates a location information signal including location information of the external input in response to the sensing signal, and an approach sensing block which determines whether the object approaches in response to the sensing signal and generates an approach information signal.

Display device

An image processor of a display device includes: an image sticking object detector which classifies a class of an input image data and outputs inference data including image sticking object information based on the classified class; a memory which stores previous inference data; a post-processor which calculates accumulative inference data, based on the inference data and the previous inference data received from the memory and generates corrected inference data, based on the accumulative inference data; and an image sticking prevention part which outputs an image data subjected to an image sticking prevention process, based on the corrected inference data.

Image processor, display device having the same and operation method of display device

The present disclosure describes an image processor of a display device. The image processing includes a pre-processor, a segmentation processor, and a correction processor. The pre-processor performs spatial filtering on an input image signal and output a line image signal. The segmentation processor classifies a class of the line image signal and outputting a segmentation signal representing the class. The correction processor corrects the segmentation signal based on the line image signal. Additionally, the correction processor detects a class boundary of the segmentation signal, detects an edge within an edge region of the line image signal corresponding to the class boundary, and corrects the segmentation signal based on the detected edge.

The present disclosure provides a display device that includes a preprocessor, a controller, and a display panel. The preprocessor includes an area determiner outputting area data, a modulator outputting modulated data, and a synthesizer converting first image data and outputting second image data including the area data and the modulated data.

Display device and method of preventing afterimage thereof

Disclosed is an image processor of a display device including a segmentation processing module classifying a background and a text of an image signal and outputting a segmentation signal, a class classification processing module outputting a class signal based on the segmentation signal, a memory storing broadcast information signals, a correction processing module correcting an image signal based on the segmentation signal and a broadcast information signal corresponding to the class signal among the broadcast information signals and outputting a correction segmentation signal, and a data signal output module preventing an afterimage of the image signal based on the correction segmentation signal and outputting a data signal.

The present disclosure provides a display device. The display device includes a controller and a display panel displaying an image. The controller includes a detector, a compensator, and a converter. The detector separates image data into first image data corresponding to a first image recognized as a non-afterimage component and second image data corresponding to a second image recognized as an afterimage component using a pre-trained deep neural network. The compensator outputs a compensation signal to control a luminance value of the second image data. The converter converts the first image data to first converted image data and converting the second image data to second converted image data based on the compensation signal.

An image acquisition apparatus includes a light source configured to emit light, a dividing unit configured to divide the light from the light source into reference light and measurement light, an image forming unit configured to form a tomographic image of a subject based on interfered light in which return light from the subject irradiated with the measurement light and the reference light are interfered, a focus adjusting unit configured to adjust a focus of the measurement light, an optical-path-length adjusting unit configured to adjust an optical path length of the reference light, and a control unit configured to adjust the optical path length of the reference light by controlling the optical-path-length adjusting unit according a change in an optical path length of the measurement light caused by adjustment of the focus using the focus adjusting unit.

Image acquisition apparatus and method for controlling the same

A driving circuit of a display device includes first and second line buffers, first and second output circuits, and a filtering process circuit. The first line buffer stores a first present data signal and outputs a first previous line data signal, and the second line buffer stores a second present data signal and outputs a second previous line data signal. The filtering process circuit alternately outputs the present data signal as one of the first present data signal and the second present data signal, and outputs a first filtered data signal and a second filtered data signal. The first output circuit receives the first filtered data signal and drives a first data line group of a plurality of data lines, and the second output circuit receives the second filtered data signal and drives a second data line group of the data lines.

Driving circuit with filtering function and display device having the same

Provided is an ophthalmic imaging apparatus, including: a combining unit combining return light obtained by irradiating an eye to be inspected with the measuring light, and the reference light to obtain interference light; an adjusting unit adjusting a polarization state of at least one of the return light or the reference light; and an acquiring unit acquiring information indicating depolarization of the eye using information about a difference between intensity of first interference light obtained under a first polarization state and intensity of second interference light obtained under a second polarization state, the first polarization state being in which the adjustment is performed so that polarization states of the return light and of the reference light match with each other, the second polarization state being in which the adjustment is performed so that the polarization states of the return light and of the reference light differ from each other.

Ophthalmic imaging apparatus and method of controlling the same

Provided is an image processing device including an obtaining unit configured to obtain image data, a first modulator that multiplies a first coefficient by a reflection-absorption component, which is based on a difference between a pixel value of a pixel of interest among the image data and an illumination component of the pixel of interest, to modulate the reflection-absorption component, a second modulator that multiplies a second coefficient by the illumination component to modulate the illumination component, and an adding unit that adds the reflection-absorption component after modulation to the illumination component after modulation.

Image dynamic range compensation device and method

A gamut adjusting method fully expresses a dynamic range of a display gamut to display an image more naturally. With respect to a brightness signal of each primary color of an input image signal, a data translation unit executes a matrix calculation based on a translation matrix for conversion into an image signal for display control. A saturation calculating unit calculates saturation of the input image signal. When saturation is smaller than a threshold value, the data translation unit is set with a translation matrix such that a tone on the display corresponds to or approximates a tone of the input image signal. When saturation is greater than the threshold value and smaller than a maximum value, as the saturation increases, a translation matrix is switched such that a vector on a xy chromaticity diagram toward a tone on a display approximates a vector toward a tone for maximum saturation.

Image display device

Growing community of inventors

Yokohama, Japan

Kazuhiro Matsumoto