Samsung Electronics Co., Ltd.

Kundong Kim

Jongwoo Kim

Younghoon Kim

Sangwoo Lee

Jungmin Lee

Daeyoung Kim

SungSu A Kim

Suyoung Lee

Heeshin Kim

Kichrl Park

Sungsu Kim

Dongyoung Song

Young Heub Jang

Joon-seo Yim

Jiyun Bang

Hyungwook Kim

Hankook Cho

Jaehyuk Hur

Seungwan Jeon

Daeil Yu

YuGyung Lee

Eunji Yong

An image sensor including an image signal processor and an operating method of the image sensor are provided. An image sensor may include a pixel array configured to convert a received optical signal into electrical signals, a readout circuit configured to analog-digital convert the electrical signals to generate image data, and an image signal processor configured to perform one-dimensional filtering in each of a first direction and a second direction on the image data to remove noise of the image data, the second direction being different than the first direction.

Image sensor including image signal processor and operating method of the image sensor

An image evaluation method, including: obtaining a test image including a first lattice pattern formed by image edges; aligning the test image using the image edges to generate an aligned image including a second lattice pattern formed by aligned image edges; generating a compressed image by compressing the aligned image; and generating a quantified result by quantifying a per-pixel difference between the compressed image and the aligned image.

Image evaluation method that can quantify images distorted by artifacts, computer program performing the method, and computing device

An image processing device includes an image sensor including a pixel array that includes a first pixel group, and a correlated double sampling circuit. The first pixel group includes a first plurality of normal pixels, a second plurality of normal pixels, and at least one first phase detection pixel. The correlated double sampling circuit is configured to generate first video data, based on charges of the first plurality of normal pixels, generate second video data, based on charges of the second plurality of normal pixels, and generate first phase detection data, based on an output of the at least one first phase detection pixel. The image processing device further includes an image signal processor configured to apply a first weight to the generated first video data, and apply a second weight to the generated second video data.

Image sensor configured to improve artifact in binning mode

Disclosed is a device for noise reduction using dual conversion gain, which includes an image sensor including a pixel array, the pixel array configured to generate a first pixel signal corresponding to a first conversion gain and a second pixel signal corresponding to a second conversion gain from pixels sharing a floating diffusion region and the image sensor configured to generate first image data and second image data based on the first pixel signal and the second pixel signal, and an image signal processor that generates an output image based on the first image data and the second image data. The image signal processor includes a normalization circuit that normalizes the first image data based on a dynamic range of the second image data to generate third image data, and a blending circuit that generates the output image based on the second image data and the third image data.

Image processing device for noise reduction using dual conversion gain and operation method thereof

An electronic device includes a frequency analyzing circuit and a color difference calculating circuit. The frequency analyzing circuit receives an image signal including information about a subject, may convert the image signal into first color data which are based on a first color domain, converts the first color data into frequency data which are based on a frequency domain, and applies frequency weights corresponding to the frequency data to the first color data to generate processed color data. The color difference calculating circuit calculates color difference values for evaluating a color stain generated by the image signal, based on the processed color data. The frequency weights are selected based on sensitivity information of an observer according to a frequency change of the frequency data.

Color stain analyzing method and electronic device using the method

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Seongnam-si, South Korea

Kundong Kim