Skhynix Inc.

Ji Hee Han

Jeong Yong Song

Jong Heon Kim

Jae Yoon Yoo

Ju Hyun Cho

Su Ram Cha

Jae Hyun Im

Hun Kim

An image processing device is provided, which has an improved face detection method. The image processing device may include a background manager, which determines a foreground region having a target object and a background region which excludes the target object based on image data that includes pixel values of pixels included in the image and depth map data that includes disparity values of the image pixels; and a target object manager determines a reference position of the target object by counting foreground pixels included in the foreground region in a preset direction at a plurality of positions, and detecting the target object corresponding to a preset shape within a region of interest that is set based on the reference position.

Image processing device and face detection method

A device performs ambient light sensing using an image sensor. The device includes an image sensor and a receiver configured to receive image data from the image sensor. The device also includes a luminance calculator configured to calculate a code corresponding to the luminance value of the image data based on the image data. The device further includes an image sensor controller configured to change the setup condition of the image sensor in response to the code having a minimum value or a maximum value, among values capable of being assumed by the code. The device additionally includes a brightness measurer configured to output a brightness value in the vicinity of the image sensor, which is identified using the changed setup condition and the code.

Ambient light sensing using image sensor

Disclosed is an image processor and an image processing system including the same, and the image processor includes: a first processing module for generating an actual output image obtained by correcting first values of first phase detection pixels based on an actual input image corresponding to first normal pixels and the first phase detection pixels arranged in a first pattern; a second processing module for calculating inverse gain values between the actual input image and the actual output image; and a third processing module for generating a virtual input image based on the actual output image and the inverse gain values, the virtual input image corresponding to second normal pixels and second phase detection pixels arranged in a second pattern, wherein the first processing module further generates a virtual output image obtained by correcting second values of the second phase detection pixels on the basis of the virtual input image.

Image processor and image processing system including the same

Disclosed is an image sensing system including a first sub-pixel array having an arrangement of K×K pixels, where 'K' is a natural number greater than 4, wherein the first sub-pixel array includes: first pixels disposed in a first diagonal direction and each having a green filter; second pixels disposed in a second diagonal direction that intersects the first diagonal direction and each having a red filter, and third pixels disposed in the second diagonal direction and each having a blue filter; and fourth pixels each having a white filter and disposed at the other positions except for arrangement positions of the first to third pixels disposed in the first and second diagonal directions, and fifth pixels suitable for measuring depth information, and the fourth pixels and the fifth pixels are disposed in a first pattern.

Image sensing system that measures depth information while generating an optimized color image and monochrome image

An electronic apparatus includes: an image sensor including normal pixels and phase detection pixels; and a processor for detecting a noise region in a flare region included in a normal image generated based on a plurality of pixel values sensed through the normal pixels and the phase detection pixels, and generating an output image including final pixel values obtained by correcting the pixel values, using peripheral pixel values of each of pixel values included in the noise region.

Electronic apparatus and operating method of the electronic apparatus

An image processing device comprises a data group generator, a gradient value manager, and a cost volume manager. The data group generator is configured to receive pixel values of an image that include phase and brightness information, and determine data groups indicating disparity of the image based on target pixel values, where the data groups correspond to a range that is determined according to the phase information. The gradient value manager is configured to determine gradient values of a region corresponding to the target pixel values and determine gradient information. The gradient information is determined by applying threshold values to the gradient values, where the threshold values are determined according to the target pixel values. The cost volume manager is configured to determine a cost volume by weighted summing the data groups based on the gradient information.

Image processing system and image processing method

An image processing apparatus is coupled to a plurality of image capturing devices. The image processing apparatus reduces a noise in an epi-polar image while generating a three-dimensional image from a multi view image. The image processing apparatus divides the multi view image into a flat region and a non-flat region, generates the epi-polar image from the multi view image, replaces an epi-polar line in the epi-polar image corresponding to the flat region with an average pixel value of the multi-view image, and replaces an epi-polar line in the epi-polar image corresponding to the non-flat region with a pixel value of a center-view image obtained from a centrally located image capturing device among the plurality of image capturing devices.

Apparatus and method for noise reduction from a multi-view image

Provided herein may be an image sensing device and a method of operating the same. An image sensing device may include an image sensor obtaining an image using a plurality of pixels, and an image processor configured to use pixel values included in a region of interest included in the image to generate a gain table including gain table values corresponding to a first resolution, convert the gain table into a target table including target table values corresponding to a second resolution which is lower than the first resolution, and cancel noise included in the image based on the target table.

Image sensing device and method of operating the same

Disclosed is an image sensing device and an operating method thereof. The image sensing device may include an analyzer suitable for analyzing a state of each of multiple kernels based on system information and a plurality of pixel values, a detector suitable for detecting color noise of a target pixel value among pixel values included in a target kernel among the multiple kernels, according to the analysis result of the analyzer, and a corrector suitable for correcting the target pixel value according to the detection result of the detector.

Image sensing device for detecting and correcting color noise of a target pixel value and operating method thereof

Provided herein may be an image sensing device and a method of operating the same. The image sensing device may include an image sensor configured to acquire an image including a plurality of pixel values, a memory configured to store reference gain values of each of a plurality of block areas included in the image, and an image processor configured to calculate gain values included in each of the plurality of block areas using the reference gain values and to output a correction image in which the reference gain values and the gain values are applied to the plurality of pixel values, wherein the block areas include a first block area and a second block area having a shorter distance from a center of the image than the first block area and having a size greater than that of the first block area.

Image sensing device for correcting image using block areas and method of operating the same

An edge-based sharpness strength control circuit include a first edge determination unit suitable for determining each of multiple regions in a pixel array to be an edge region having edge information on pixel data of the corresponding region or a flat region having flat information on pixel data of the corresponding region, the pixel array including a plurality of pixels; a second edge determination unit suitable for determining each edge region to be a step edge region having directional information within the corresponding edge region or a texture edge region having non-directional information within the corresponding edge region; and a noise removing unit suitable for removing noise from each step edge region using a first filter and for removing noise from each texture edge region using a second filter having a different gain than that of the first filter.

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Gyeonggi-do, South Korea

Ji Hee Han