Samsung Electronics Co., Ltd.

Chung Ang University Industry Academic Cooperation

Industry-University Cooperation Foundation Sogang University

Tae Chan Kim

Hyun Surk Ryu

Jun Haeng Lee

Dong Ki Min

Kwang Hyun Lee

Keun Woo Park

Jung Chak Ahn

Moo Young Kim

Min Ho Kim

Young Gu Jin

Tae Yon Lee

Tae Seok Oh

Keun Joo Park

Sang Chul Sul

Jae Cheol Yun

Wang Hyun Kim

Jung Hoon Jung

Young Jin Kim

Seog Heon Ham

Bum Suk Kim

Jin Hak Kim

Hyuk Soon Choi

Moo Sup Lim

Alexander Getman

Kwang Hyuk Bae

Yo Hwan Noh

Dae Kwan Kim

Se Hwan Yun

Young-Jin Kim

Min-Seok Oh

Yun Tae Lee

Hyun Seok Lee

Kyung-min Kim

Dong Kyu Lee

Kyoung Min Koh

Tae Sub Jung

Sun-Kyu Kim

Byung-joon Baek

Kyu-Min Kyung

Ju Hwan Jung

Joonki Paik

Won Woo Cho

Byung-jo Kim

Hae-Kyung Kong

Dong Jae Lee

Min Seok Oh

Seok Yong Hong

Seonyung Kim

Young Sung Cho

Kyu Min Kyung

Donggyun Kim

Shung Han Cho

Sun Hwa Jung

Yun Hong Kim

Hyun Jong Jin

Tomer Livneh

Hae Jin Ju

Hyung Gu Lee

Hee Min Park

Hae Kyung Kong

Rae Hong Park

Hae Kyoung Kong

Hye Kyoung Jung

An image adjustment apparatus includes a receiver which is configured to receive a first input image of an object which is time-synchronously captured and a second input image in which a motion event of the object is sensed time-asynchronously, and an adjuster which is configured to adjust the first input image and the second input image.

Image adjustment apparatus and image sensor for synchronous image and asynchronous image

Disclosed is an image adjustment apparatus including a receiver which is configured to receive a first input image of an object which is time-synchronously captured and a second input image in which a motion event of the object is sensed time-asynchronously, and an adjuster which is configured to adjust the first input image and the second input image.

In an example embodiment, an image processing device includes a pixel array including pixels two-dimensionally arranged and configured to capture an image, each of the pixels including a plurality of photoelectric conversion elements and an image data processing circuit configured to generate image data from pixel signals output from the pixels. The image processing device further includes a color data processing circuit configured to extract color data from the image data and output extracted color data. The image processing device further includes a depth data extraction circuit configured to extract depth data from the image data and output extracted depth data. The image processing device further includes an output control circuit configured to control the output of the color data and the depth data.

Image processing device and mobile computing device having the same

An image sensor according to an example embodiment concepts includes a pixel array including pixels, and each of the pixels includes photoelectric conversion elements. The photoelectric conversion elements independently operating to detect a phase difference. The image sensor further includes a control circuit configured to independently control exposure times of each of the photoelectric conversion elements included in each of the pixels.

Image sensor including a pixel having photoelectric conversion elements and image processing device having the image sensor

ACMOS image sensor includes a pixel array having a plurality of pixels. Each of the plurality of pixels includes: a photogate structure configured to be controlled based on a first gate voltage; and a sensing transistor including a charge pocket region formed in a substrate region, the sensing transistor being configured to be controlled based on a second gate voltage. Based on the first gate voltage, the photogate structure is configured to integrate charges generated in response to light incident on the substrate region. The sensing transistor is configured to adjust at least one of a threshold voltage of the sensing transistor and a current flow in the sensing transistor according to charges transferred from the photogate structure to the charge pocket region based on a difference between the first gate voltage and the second gate voltage.

CMOS image sensors with photogate structures and sensing transistors, operation methods thereof, and image processing systems including the same

Image processing device to extract color and depth data from image data, and mobile computing device having the same

A method of calculating, using a depth sensor, a distance excluding an ambiguity distance including outputting a modulated light signal output from a light source to an object, receiving the modulated light signal reflected by the object, calculating a distance between the light source and the object using the reflected modulated light signal input to photo gates in conjunction with demodulation signals supplied to the photo gates, the calculating including calculating, using the modulated light signal, at least one distance farther than a maximum measurable distance, and setting the at least one distance to be equal to the maximum measurable distance may be provided. A range of the distance farther than the maximum measurable distance can be determined according to a duty ratio of the modulated light signal.

Methods for calculating distance using depth sensor and apparatuses performing the same

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Yongin-si, South Korea

Tae Chan Kim