Samsung Electronics Co., Ltd.

Seongwook Song

Wonseok Lee

Yunseok Choi

Jonghan Lim

Irina Kim

Moonkyu Song

Jaeho Lee

Dongjin Park

Hee Joo Kang

Ildo Kim

Chanyoung Jang

Wooseok Choi

Dong-bum Choi

Seungwon Choi

Taeui Kim

Hyunyup Kwak

Linbo Li

Taeyoon Kim

Hangil Moon

Jeongho Park

Sungyoon Cho

Yoonkyung Choi

Hyukjae Jang

Jeongguk Lee

Youngil Seo

Hyungu Kang

Sungho Jun

Soongeun Jang

Hyungjong Kim

Kiup Kim

Changeun Kang

Andrey Zobenko

Xue Li

Yeolmin Seong

Chunghwan Park

Semin Chang

Myunghyun Song

Curie Kim

Geunyoung Lee

Haewoong Jang

An image sensor, including a pixel array; a readout circuit configured to generate image data including first image data including phase information regarding a first phase, second image data including phase information regarding a second phase, and full image data including color information; and a signal processing unit including: a front end processing module configured to generate third image data including additional phase information regarding the first phase using the second image data and the full image data, and to generate fourth image data including additional phase information regarding the second phase using the first image data and the full image data; and an auto-focusing processing module configured to calculate a phase difference between the first phase and the second phase using the first image data, the second image data, the third image data, and the fourth image data.

Image sensor, image processing system including the same, and operation method thereof

An image sensor includes an active pixel array in which a plurality of active pixels are arranged in a matrix, the active pixel array including a plurality of active regions including at least one active pixel, an optical black pixel array in which a plurality of optical black pixels are arranged in a matrix, the optical black pixel array including a plurality of optical black regions including at least one optical black pixel, a readout circuit configured to generate image data including pixel values by converting pixel signals generated from the plurality of active pixels into digital signals and generate black data including black pixel values by converting black signals generated from the plurality of optical black pixels into digital signals, and a dark level corrector configured to correct pixel values included in the image data.

Image sensor and operating method of image sensor

An image sensor, a mobile device, and an image sensor operation method for reducing a data transmission latency are disclosed. The image sensor includes an interface circuit configured to receive compressed data from an external processor, at least one memory configured to store the compressed data, and a control logic circuit configured to decompress the compressed data based on an initialized first clock rate, wherein, after the control logic circuit decompresses the compressed data, the first clock rate is reset to a second clock rate.

Image sensor, mobile device, and image sensor operation method for reducing data transmission latency

Provided are an image sensor module, an image processing system, and an image compression method. The image compression method of compressing image data generated by an image sensor includes: receiving pixel values of a target pixel group of image data on which compression is to be performed, and reference values of reference pixels to be used in compression of the target pixel group; determining an averaging direction in which an averaging calculation is to be performed on target pixel values; averaging the pixel values of target pixels in the averaging direction; generating balance information including compensation values to be applied to the average values based on the reference pixels; and generating a bitstream based on the average values, the balance information, and compression information.

Image sensor module, image processing system, and image compression method

An image processing apparatus includes a pre-processor configured to receive, from an image sensor, input image data including a pattern corresponding to a filter array of the image sensor, and generate reconstructed image data by reconstructing the input image data based on phase information corresponding to each of a plurality of pixels of the image sensor, and a neural network processor configured to generate output image data based on the input image data and the reconstructed image data.

Image processing apparatus including pre-processor and neural network processor and operating method thereof

An image sensor includes a pixel array including a plurality of pixels provided in a plurality of rows and a plurality of columns, and a signal processor configured to process first image data generated by the pixel array to generate a plurality of pieces of first full color image data, wherein the signal processor is further configured to split the first image data into a plurality of pieces of phase data, remosaic-process each of the plurality of pieces of phase data to generate a plurality of pieces of color phase data, merge the plurality of pieces of color phase data corresponding to a same color, respectively, to generate a plurality of pieces of preliminary color data, and compensate for the plurality of pieces of preliminary color data to generate the plurality of pieces of first full color image data.

Image sensor, image processing apparatus, and image processing method

A camera module includes a compressor configured to divide a plurality of pixels included in image data, into a plurality of pixel groups, with respect to each of the plurality of pixel groups into which the plurality of pixels is divided, calculate a representative pixel value of a corresponding pixel group, based on pixel values of multiple pixels included in the corresponding pixel group, generate first compressed data, based on the calculated representative pixel value of each of the plurality of pixel groups, with respect to each of the plurality of pixel groups into which the plurality of pixels is divided, calculate residual values representing differences between the pixel values of the multiple pixels included in the corresponding pixel group and the representative pixel value of the corresponding pixel group, and generate second compressed data, based on the calculated residual values of each of the plurality of pixel groups.

Camera module, image processing device and image compression method

In a method of obtaining a reference image for optical object recognition, first light sources among a plurality of light sources included in a display panel are driven where the first light sources are disposed to correspond to an object recognition window which is a partial region of the display panel, a plurality of images are contemporaneously obtained based on reflected light received by an object recognition sensor through the object recognition window while driving the first light sources, at least one of the plurality of images is obtained as a first reference image for optical object recognition associated with a first object, and the first reference image is stored.

Method and device for reference imaging and optical object recognition

An image processing device includes: an image sensor configured to generate first image data by using a color filter array; and processing circuitry configured to select a processing mode from a plurality of processing modes for the first image data, the selecting being based on information about the first image data; generate second image data by reconstructing the first image data using a neural network processor based on the processing mode; and generate third image data by post-processing the second image data apart from the neural network processor based on the processing mode.

Image processing device including neural network processor and operating method thereof

An image signal processor that generates a display signal receives an input image signal having a first pedestal level from an image sensor, generates a first signal from the input image signal, the first signal including a second pedestal level, the second pedestal level being different from the first pedestal level and being determined in accordance with the first pedestal level and a processing gain of the image signal processor, generates a second signal having the second pedestal level by amplifying the first signal in accordance with the processing gain, generates a third signal having the second pedestal level by removing a noise signal from the second signal; and generates a fourth signal by subtracting the second pedestal level from the third signal.

Image signal processor, electronic device including image signal processor, and associated methods

An electronic device includes an image sensor configured to capture a target to generate first image data, and a processor configured to perform directional interpolation on a first area of the first image data to generate first partial image data, perform upscale on a second area of the first image data to generate second partial image data, and combine the first partial image data and the second partial image data to generate second image data.

Electronic device generating image data and converting the generated image data and operating method of the electronic device

An image processing apparatus includes; an image sensor including pixels that generate first image data, and an image processing system. The image processing system includes; a neural network processor that performs a cluster-level bad pixel correction operation on the first image data based on first coordinate information associated with first-type bad pixel clusters to generate second image data, and a main processor that performs a post-processing operation on the second image data to generate third image data.

Image processing apparatus including neural network processor and method of operation

An image compression method to compress image data generated through a pixel array includes categorizing image data corresponding to a plurality of sub-pixels arranged adjacent to each other and generating first color information for a first color pixel; determining a reference value as a criterion for compressing the image data based on pixel values of the sub-pixels; comparing the pixel values of the sub-pixels with the reference value; and outputting results of the comparisons and the reference value.

Image compression method, encoder, and camera module including the encoder

Various example embodiments are directed towards systems, apparatuses, and/or methods of obtaining a reference image for optical object recognition, the method including driving a subset of light sources of a plurality of light sources, receiving, using an object recognition sensor, light reflected off a first target object, obtaining a first reference image based on the reflected light, obtaining a first target image associated with the first target object based on the reflected light, obtaining at least one first environment information using at least one environmental sensor while driving the subset of light sources, the first environment information associated with a surrounding environment, storing the first reference image and the first environment information together, and obtaining a first effective image for the first target object based on the first target image and the first reference image.

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Seoul, South Korea

Seongwook Song