Yonsei University

Samsung Electronics Co., Ltd.

Hanwha Techwin Co., Ltd.

Samsung Techwin Co., Ltd.

Moon-Gi Kang

Jong-Hyun Park

Min-Kyu Park

Jin-Ho Kim

Hee Joo Kang

Joon-young Chang

Chang-Won Kim

Hyun-mook Oh

Ji-yong Kwon

Eun-Cheol Choi

Du-sic Yoo

Sung-dae Cho

Sang-Wook Park

Chang-min Lee

Jae-hyun Kim

Jin-ho Kim

Hyun-Hee Park

Sung-Dae Cho

Min-seok Lee

Jeong-Ahn Lee

Se-hyeok Park

Hee-Chan Park

Jae-hun Lee

Sung-Cheol Park

Young-seok Han

Ji-hye Kim

Min Hyung Byun

Bong-hyup Kang

Seung-hoon Jee

Jae-Cheol Lee

Paul Oh

Chul-Hee Park

Gun-Shik Shin

Ji-Hye Kim

Provided is an image processing apparatus that can effectively display an image by using an optimized dynamic range compression technique and a method of processing an image by using the same. The method includes: obtaining a first blurred image and a second blurred image from the input image; estimating illuminance of the input image by combining the first blurred image and the second blurred image; generating a dark region amplified image from the input image; generating a bright region conserved image from the input image; applying weights to the dark region amplified image and the bright region conserved image, respectively, according to the estimated illuminance; and combining the weighted dark region amplified image and the weighted bright region conserved image to generate a final image.

Image processing apparatus and method of processing image

A camera system with a multi-spectral filter array and an image processing method thereof are disclosed. The method of processing an image that is output from an image sensor including a multi-spectral filter array including a color filter and a near infrared (NIR) filter includes interpolating an NIR channel of the image by using spatial information of color channels including a red channel, a green channel, and a blue channel; and interpolating the color channels of the image by using spatial information of the NIR channel.

Camera system with multi-spectral filter array and image processing method thereof

A method of processing an image includes: offsetting aliasing by analyzing frequency characteristics of at least one color channel and a NIR channel, of a MSFA pattern image; generating a high resolution base image; and offsetting an artifact from the high resolution base image by weighting the high resolution base image and a blur image, based on a pixel difference value between the blur image and the high resolution base image.

Method and apparatus for processing image

Provided are a method and apparatus for canceling chromatic aberration. In the method, only chrominance signals are filtered using an asymmetrical mask according to the characteristics of chromatic aberration occurring from among a luminance/chrominance coordinates system. Accordingly, it is possible to cancel chromatic aberration regardless of the characteristics of a lens and prevent the resolution of the original image from degrading.

Method and apparatus for canceling chromatic aberration

Provided is a method and apparatus for restoring color of an input image. The method includes: separating multiple band information of a near infrared (NIR) channel from information of the input image by using a correlation between a color channel and the NIR channel in the input image; obtaining estimated invisible light band information of the NIR channel from the multiple band information of the NIR channel and estimated multiple band information of the NIR channel which is estimated from the color channel; estimating invisible light band information of the color channel based on the estimated invisible light band information of the NIR channel; and restoring a visible light band image of the color channel by removing the estimated invisible light band information of the color channel from multiple band information of the color channel included in the information of the input image.

Apparatus and method for color restoration

An image processing apparatus includes an adaptive interpolation device which converts a MFA pattern image into a quincuncial pattern image based on difference values, and interpolates color channels and an NIR channel, based on difference values of the converted quincuncial pattern image in vertical and horizontal pixel directions; a frequency compensation device which obtains a high-resolution MFA image using high-frequency and medium-frequency components of a high-resolution base image, based on linear regression analysis and compared energy levels of MFA channel images to an energy level of a base image; and a channel interference suppression device which removes color distortion generated between each channel of the high-resolution MFA image, and another channel of the high-resolution MFA image and a base channel using a weighted average of pixel value differences between each channel of the high-resolution MFA image, and the other channel of the high-resolution MFA image and the base channel.

Image restoration by restoring a high-frequency component of a deteriorated image. A high-frequency image information predicting and stabilizing method includes: determining a shooting area, which is a high-frequency area that includes an overly-restored high-frequency component, in an input image; predicting a high-frequency component of the input image by applying different deterioration models to the shooting area and a remaining area in the input image; and stabilizing a high-frequency component of an edge area by using an edge blur kernel determined to be parallel to an edge direction of the input image.

Method and apparatus for generating super-resolution image using prediction and stabilization of high-frequency information of image

A method and apparatus for reducing noise of a video image are provided. The method includes: reducing noise in a difference between a current frame and a previous frame in which temporal noise is reduced; detecting motion information about the current frame based on the difference in which the noise is reduced; reducing temporal noise in the current frame via a weighted sum of the current frame and the previous frame in which the temporal noise is reduced, according to the motion information; and reducing spatial noise in the current frame based on an edge direction of the current frame in which the temporal noise is reduced.

Method and apparatus for reducing noise of video

A device and method of removing chromatic aberration which occurs in an image generated by capturing a target subject. The chromatic aberration removing device includes a chromatic aberration region detecting unit which detects a chromatic aberration occurrence region in an input image, a coefficient calculating unit which calculates a minimizing pixel value which minimizes a difference between sizes, numbers of pixels or intensities of edges of red, green, and blue (RGB) channels of the chromatic aberration occurrence region, a chroma signal processing unit which removes chromatic aberration in the chromatic aberration occurrence region, and a purple fringing removing unit which removes purple fringing.

Device and method of removing chromatic aberration in image

An image scaling apparatus and method, with enhancement of image quality. The method includes generating a plurality of intermediate pixels positioned near a plurality of resultant pixels to be generated to scale an input image using pixels of the input image; determining the image characteristics of the plurality of resultant pixels using a predetermined region of the input image or the plurality of intermediate pixels within the predetermined region; determining a filter for generating the plurality of resultant pixels based on the image characteristics with respect to the resultant pixels, and generating the plurality of resultant pixels through filtering of the plurality of intermediate pixels using the determined filter. The apparatus includes an intermediate pixel generation unit which generates a plurality of intermediate pixels. A filter determination unit determines a filter for generating the plurality of resultant pixels. A resultant pixel generation unit generates the plurality of resultant pixels.

Image scaling method and apparatus with enhancement of image quality

A method and apparatus for adjusting a white balance in a digital imaging device. The method including the steps of: analyzing a histogram of an image to which a white balance algorithm is to be applied; classifying the image, to which the white balance algorithm is to be applied, according to color distribution determination criteria; and the white balance algorithm is applied to the image in a customized manner based on results of the classification based on color distributions. The apparatus includes an image sensor unit for photographing a subject and for creating an original image; and an image processing unit for finding an achromatic color region through estimation of a color temperature of the original image, for extracting a white point of the achromatic color region, and for adjusting a white balance of the original image.

Apparatus and method for adjusting white balance in a digital imaging device

A lens shading correction method and apparatus are provided for removing vignetting occurring in digital images due to lens shading. A white image captured by an image pickup device and an image pickup unit is separated into reference white images corresponding to color channels. A vignetting center having a maximum light intensity is estimated in each of the reference white images. Multiple reference segments on each of the reference white images are defined. A lens shading correction value corresponding to each pixel constituting the reference segments are calculated using a corresponding light intensity. A lens shading correction function corresponding to each reference segment is derived using a corresponding lens shading correction value. Vignetting of a general image received in a general image processing mode is removed, using the derived multiple lens shading correction functions.

Method and apparatus for correcting lens shading

An apparatus and method for suppressing color rolling are provided. The apparatus includes a digital signal processor which detects first motion information on a current frame and second motion information on at least one of a plurality of neighboring frames, calculates a gain based on the first and second motion information, and applies the gain to at least one channel of the current frame.

Apparatus and method for color rolling suppression

A method and apparatus for eliminating chromatic aberration; in an embodiment, only the chrominance signal is filtered in the luminance/chrominance coordinates so as to eliminate the chromatic aberration so that the chromatic aberration can be eliminated regardless of a property of a lens. In addition, there are advantages in not only eliminating the chromatic aberration but also preventing resolution of the original image from being damaged.

Growing community of inventors

Seoul, South Korea

Moon-Gi Kang