Samsung Electronics Co., Ltd.

Chung Ang University Industry Academic Cooperation

Skhynix Inc.

Joon-Ki Paik

Tae-Chan Kim

Sang-Hoon Lee

Jin-Ho Park

Eun-Sung Lee

Jae-Hwan Jeon

Dong-Gyun Kim

Byung-joon Baek

Seung-Won Lee

Woon H Na

Yoon-Jong Yoo

Sung-Wook Park

Min-Kyu Park

Dong-wook Kim

Young-Kwon Yoon

Yong-Gu Lee

Won-Seok Kang

Sang-Jin Kim

Sung-wook Park

Han-Sae Song

Seong-won Lee

Kyoung-Ju Park

Jeong-Ho Shin

Jin-Hee Lee

Young-Sam Yu

Jong-Heon Kim

Wan-Hee Jo

Jae-Hyun Im

In-Ho Paek

Maik Vivek

Jin-Beum Jang

Yong-Chul Park

Provided is an image sensor. The image sensor includes a pixel array including a plurality of pixel blocks. Each of the plurality of pixel blocks includes a plurality of pixels arranged in a matrix form. Each of the plurality of pixels includes a plurality of phase difference sensing pixels. Each of the plurality of phase difference sensing pixels may be periodically repeatedly arranged in the pixel array in a horizontal direction and a vertical direction.

Image sensor having phase difference sensing pixels arranged in irregular hexagonal shape

A lens distortion correction device and an application processor having the same include a distortion correction unit configured to correct a distorted image into an undistorted image and an image enhancement unit configured to improve the undistorted image using a high-frequency component of the distorted image.

Lens distortion correction device and application processor having the same

An apparatus for detecting multiple objects using adaptive block partitioning is disclosed. An object contour extracting unit configured to extract a contour information of an object using a local binary pattern LBP and difference image between adjacent images. An adaptive block partitioning unit configured to perform a block partitioning of an object not overlapped based on the extracted contour information. A motion quantization unit configured to calculate a motion orientation histogram MOH of the object by performing N-directional quantization about a motion vector. An object detection unit configured to detect the object using a block of the partitioned object, the contour information and the MOH, and estimate a moving direction of the object after performing labeling the detected object. The apparatus may process effectively data through eight-directional quantization of a motion vector of an object using motion information provided in advance from an ISP chip, detect proper area of the object in the unit of a block with minimizing motion error of the object through the block with adaptive size and orientation histogram, and estimate simultaneously moving direction of the object with the detection of the object.

Apparatus and method for detecting multiple objects using adaptive block partitioning

Disclosed are an apparatus and method for estimating a distance using a dual off-axis color filter aperture (DCA). An object detection unit is configured to detect an object from an image taken by a camera having the DCA equipped with a first filter having a first color and a second filter having a second color complementary to the first color. A color shifting value calculation unit is configured to calculate a color shifting value (CSV) using a color shift property between color channels of the image in a region corresponding to the detected object. A distance estimation unit is configured to estimate a distance from the camera to each point of the object based on the calculated CSV and camera parameters including a focal distance of the camera, a focal plane of the camera, and a position of the aperture.

Apparatus and method for estimating distance using dual off-axis color filter aperture

A method of operating an electronic device for image interpolation is provided. The method includes estimating a direction of pixels using a plurality of filters respectively corresponding to a plurality of angles, correcting the direction of the pixels using a direction of neighboring pixels, determining whether the direction estimation has an error according to a direction distribution of the neighboring pixels, and when the direction estimation is determined to have error, correcting the error in the direction estimation.

Method for directional adaptive image interpolation and an electronic device thereof

An image processing apparatus includes a point spread function (PSF) pattern generation unit for generating a PSF pattern in which a plurality of PSFs are located in a plurality of lines of the PSF pattern; a PSF estimation unit for estimating PSFs of an out-of-focus input image from step responses of the plurality of lines of the PSF pattern with respect to an edge of the out-of-focus input image; and an image restoration unit for restoring the out-of-focus input image to a focused restored image using the estimated PSF.

Image processing apparatus and systems using estimated point spread function

Provided are an apparatus and method for generating a fully focused image. A depth map generation unit generates a depth map of an input image obtained by a multiple color filter aperture (MCA) camera. A channel shifting & alignment unit extractes subimages which include objects with same focal distance based on the depth map, and performing color channel alignment and removing out-of-focus blurs for each subimages obtained from the depth map. An image fusing unit fuses the subimages to generate a fully focused image.

Apparatus and method for generating a fully focused image by using a camera equipped with a multi-color filter aperture

Provided are an apparatus and method for aligning color channels on the basis of depth information on an image taken by an imaging device equipped with a multiple color-filter aperture (MCA). An image divider generates a binary image including edge information on an original image, and generates a label map including a plurality of regions of interest (ROIs) respectively corresponding to a plurality of objects included in the original image. A shifting vector estimator estimates color shifting vectors (CSVs) indicating shift directions and distances of color channels of the original image according to the respective ROIs. A channel matching unit obtains a plurality of matched images corresponding to the respective ROIs included in the label map by shifting the color channels according to the respective CSVs, and generates a multi-focus image by combining the matched images.

Apparatus and method for aligning color channels

An image restoration device, an image restoration method, and an image restoration system are provided. The image restoration device includes a point spread function estimation unit, and an image restoration filter unit. The point spread function estimation unit receives an image signal and estimates a Point Spread Function (PSF) from the received image signal. The image restoration filter unit receives the image signal and the PSF, generates an image restoration filter coefficient from the PSF, and filters the image signal according to the image restoration filter coefficient to output the filtered image signal.

Image restoration device, image restoration method and image restoration system

Provided are an apparatus and method for enhancing image quality of an input image captured by an image capturing device having an aperture with a plurality of openings employing different color filters. The image quality enhancing apparatus includes an ROI (region of interest) classifying unit classifying ROIs according to distances from the image capturing device of a captured input image by using a cluster-based image segmentation algorithm, a color channel registering unit determining motion vectors of color channels corresponding to the respective ROIs by analyzing a high frequency component of image data included in the ROIs, and moving the color channels based on the determined motion vectors to obtain a registered image of the respective ROIs, and an image fusing unit fusing the registered images of the respective ROIs to obtain a fused image.

Apparatus and method for enhancing image quality of image captured by using multiple color-filter aperture

An image restoration method includes receiving an externally input image signal, generating a filtered image signal by filtering the input image signal, and generating a restored image signal by calculating a weighted average of the input image signal and the filtered image signal. Such a method may be implemented using an image restoration device including an image filtering unit adapted generated the filtered image signal, and an image mixing unit adapted to generate the restored image signal. More particularly, the restored image signal may be generated using weighting factors calculated based on the input image signal, by calculating a local variance of pixels in the input image signal, and calculating the weighting factor for each of the pixels based on the local variance of each of the pixels.

Image restoration devices adapted to remove artifacts from a restored image and associated image restoration methods

Provided are an apparatus and method for generating panorama images and an apparatus and method for tracking an object using the same. The apparatus for generating panorama images estimates regional motion vectors with respect to respective lower regions set in an image frame, determines a frame motion vector by using the regional motion vectors based on a codebook storing sets of normalized regional motion vectors corresponding to a camera's motion and then accumulates motion mediating variables computed with respect to respective continuous image frames to determine an overlapping region, and matches the overlapping regions to generate a panorama image.

Apparatus and method for generating panorama images and apparatus and method for object-tracking using the same

An image processing method and system using gain-controllable clipped histogram equalization, in which the image processing method includes the steps of as obtaining a brightness histogram, computing a mean brightness of an image signal, determining a clipping rate based on the mean brightness, determining a clipping threshold based on the clipping rate, obtaining a clipped brightness histogram by clipping frequencies exceeding the clipping threshold in the brightness histogram, obtaining a corrected brightness histogram by correcting the clipped brightness as histogram using the clipping rate as a total gain, obtaining a cumulative histogram from the corrected brightness histogram, and correcting an input image using the cumulative histogram as a transformation function. Accordingly, the clipping rate is adaptively controlled so that image contrast is enhanced.

Image processing method and system using gain controllable clipped histogram equalization

Methods and apparatus are disclosed for digital image restoration. The method including the steps of receiving an external deteriorated image, and generating N restoration images by using a preset PSF and an image restoration filter without computing a PSF of the input deteriorated image, dividing the restoration images into window parts of a predetermined window size, computing absolute values of differences among peripheral pixels within the divided window parts, selecting only a high frequency part, and analyzing focus deterioration; determining weights of the N restoration images, selecting window parts having high weights, and integrating the selected window parts into one image and comparing a degree of restoration of the integrated image with a preset degree of restoration, and outputting the integrated image as a resultant image when the degree of restoration of the integrated image is higher than the preset degree of restoration.

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Seoul, South Korea

Joon-Ki Paik