Skhynix Inc.

Chung Ang University Industry Academic Cooperation

Jae Hyun Im

Tae Hyun Kim

Jae Hwan Jeon

Jong Heon Kim

Yu Jin Park

Joon Ki Paik

Jung Soon Shin

Ji Hee Han

Kang Bong Seo

Seong Hee Park

Nam Ryeol Kim

Chang Hun Cho

Ja Min Koo

Woo Young Jeong

Yoon Jong Yoo

Hun Kim

Wan Hee Jo

Ju Hyun Cho

Jin Beum Jang

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

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 sensing device includes an image sensor including at least one pixel including a plurality of color channels and an image processor for processing an input image, based on brightness intensity values of the plurality of color channels. The image processor includes: a transmission map generator for generating color channel transmission maps including transmission values that are obtained by respectively converting brightness intensity values of the plurality of color channels, and generating a target transmission map including target transmission values that are obtained by multiplying transmission values among the transmission values that correspond to color channels; a white pixel detector for determining target pixels that are included in a white area, based on the target transmission map; and a white balance adjuster for adjusting white balance, based on average brightness intensity values of respective color channels.

Image sensing device and operating method thereof

The present invention relates to an auto-focus system and method based on a sensor, using hierarchical extraction and motion estimation for an image. The auto-focus method may include the steps of: (a) extracting a phase difference image from a sensed image; (b) extracting a robust feature image which satisfies a preset reference with respect to noise and out-of-focus blur, from the phase difference image; and (C) estimating a motion vector for lens shift from the feature image.

Auto-focus system for a digital imaging device and method

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Seoul, South Korea

Jae Hyun Im