Skhynix Inc.

Seong Hee Park

Dong Ik Kim

Jin Su Kim

Tae Hyun Kim

Jung Soon Shin

Su Ram Cha

Chang Ki Min

Yoon Gyoo Lee

Yu Jin Park

Jong Eun Kim

Kang Bong Seo

Nam Ryeol Kim

Jae Hyun Im

Ji Soo Son

Disclosed is an image sensor including a plurality of column lines, a plurality of pixels coupled to the plurality of column lines, and configured to output a plurality of pixel signals to the plurality of column lines in response to first control signals, and a plurality of memory cells coupled to the plurality of column lines, and configured to output a plurality of convolution signals, in which a plurality of data signals are reflected in the plurality of pixel signals, to the plurality of column lines in response to second control signals.

Image sensor and operating method thereof

An electronic apparatus includes: an image sensor for acquiring pixel values of first pixels sensed during a first exposure time and second pixels sensed during a second exposure time longer than the first exposure time; and a controller for outputting an output image acquired based on pixel values of the first pixels and a corrected saturated pixel value obtained by correcting a pixel value of a saturated pixel having a pixel value exceeding a threshold value among the second pixels, using a pixel value of at least one first pixel having a distance closest to a position of the saturated pixel among the first pixels.

Electronic apparatus and operating method of the electronic apparatus

A noise removing circuit includes an image combiner suitable for generating a high dynamic range (HDR) image by combining images having different exposure times; a detailed image generator suitable for generating a detailed image from the HDR image; an image strength evaluator suitable for evaluating strength of the detailed image; and a noise coring component suitable for performing a noise coring operation for removing noise from a region of the detailed image in which a signal to noise ratio (SNR) has decreased using a low threshold and a saturation threshold when the strength of the detailed image is less than a reference value.

Noise removing circuit, image sensing device and operation method of the same

Disclosed is an image sensing device including a first pixel group including at least one first half-shading pixel and at least one first normal pixel, and an image processor suitable for using a first pixel signal, which is generated from the first half-shading pixel during a first period, as phase information, and using a first pixel signal, which is generated from the first half-shading pixel during a second period, as dynamic range information.

Image sensing device

An image processing system includes: an image sensor suitable for generating an RYYB (Red Yellow Yellow Blue) bayer image by applying an RYYB color filter array; an interpolation logic suitable for generating a Y image at a position of an R image portion in the RYYB bayer image by interpolating a YY image portion in the RYYB bayer image; and a guided filtering logic suitable for guided-filtering the R image portion in the RYYB bayer image by using, as a guide image, the Y image at the position of the R image portion.

Image signal processor and image processing system

Disclosed are an image sensing device and an operating method thereof, and the image sensing device may include: an image sensor including a plurality of pixels and suitable for generating an image based on incident light; and an image processor suitable for generating a high dynamic range (HDR) image based on the image and two or more pieces of tone mapping information, which are divided according to luminance.

Image sensing device and operating method thereof

A smart binning circuit includes an edge information generator suitable for generating edge information from pixel data outputted from a pixel array; a weight allocator suitable for allocating a weight based on the edge information; a binning component suitable for generating a binning value by performing an edge detection interpolation (EDI) binning on the edge information; a bayer binning component suitable for generating an average value representing pixels that are down-scaled through a 4-sum binning operation; and a combiner suitable for combining the binning value and the average value according to the allocated weight.

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Gyeonggi-do, South Korea

Seong Hee Park