Samsung Electronics Co., Ltd.

Yonsei University

Inha-industry Partnership Institute

Hee-Chan Park

Min-Kyu Park

Young-Kwon Yoon

Han-Sae Song

Yong-Gu Lee

Jin-ho Kim

Yun-Je Oh

Jin-Ho Kim

Sung-dae Cho

Ji-Hye Kim

Sung-Dae Cho

Ji-hye Kim

Moon-Gi Kang

Chang-Won Kim

Kyoung-Tae Kim

Seul-Ki Jang

Choon-Woo Kim

Han-Kil Yoon

Hyun-mook Oh

Youg-Gu Lee

Various exemplary embodiments related to an electronic apparatus and a method for taking a photograph in the electronic apparatus are disclosed, and according to an exemplary embodiment, the electronic apparatus may include a display that displays a screen; a depth sensor that outputs a first image signal and depth information; an image sensor that outputs a second image signal; and a control unit that controls to display a preview screen on the display using the first image signal, obtain both depth information of a photographing moment and an image of the photographing moment using the second image signal in response to a request of photographing, and store the image and the depth information. Also, other various exemplary embodiments may be possible.

Electronic apparatus and method for taking a photograph in electronic apparatus

An edge-adaptive interpolation and noise filtering method is provided including performing primary interpolation on a first color, based on a first preset number of directions, with respect to a first color window obtained from an input image window, estimating an edge direction within a primary interpolated first color window obtained by the primary interpolation, based on a second preset number of directions, the second preset number of directions being larger than the first preset number, with respect to the primary interpolated first color window, performing secondary interpolation on the first color, based on the estimated edge direction, with respect to the primary interpolated first color window, and performing interpolation on a second color, based on the estimated edge direction, with respect to a second color window obtained from the input image window.

Edge-adaptive interpolation and noise filtering method, computer-readable recording medium, and portable terminal

The present invention provides a method for efficiently removing noise of an image sensor. To this end, the present invention enables: an area to be divided into an edge area, a sensitivity difference generation area, and a pattern area relative to an input image of a Bayer pattern; and different noise removing methods to be applied according to each of the divided areas. By doing this, noise can be removed efficiently since the noise is adaptively removed in each area. Further, sensitivity differences between Gr and Gb are considered in such a manner that resolution can be improved.

Apparatus and method for removing noise generated from image sensor

A method for removing defective pixels using a signal processing scheme with a Bayer pattern, by determining an output value of the inter-channel according to whether or not a difference between a center pixel and an average of neighboring pixels, which have the same color as that of the center pixel, is greater than or equal to a threshold value; and using values of neighboring pixels nearest to a center pixel as an input, obtaining an output value of the cross-channel by finding a median value among a median value of vertical and horizontal lines including the center pixel, a median value of diagonal lines including the center pixel, and a value of the center pixel. Then, a defective pixel is removed, through the use of the output value of the inter-channel, the output value of the cross-channel, and the value of the center pixel.

Apparatus and method for removing defective pixels

The present disclosure relates to a method and an apparatus for image processing. The method includes: setting a block including at least one pixel and a window including the at least one block, with a center pixel as a reference; converting an input image in a YCbCr format to a monochrome image; determining a magnitude of an edge component and an edge direction in the window; determining a weight of the block in consideration of the magnitude of the edge component and the edge direction; and determining a color signal value of the center pixel by reflecting the weight of the block in the monochrome-converted window.

Method and apparatus for image processing

A device and method for reducing color noise of an image by using a distance weight depending on a distance from a central pixel for each pixel of an image and an edge weight depending on the difference in luminance and chrominance with the central pixel is provided, which can effectively reduce the color noise of the image by using the correlation between the luminance and the chrominance and edge characteristics.

Method and device for reducing image color noise

An image classification apparatus and method for Automatic White Balance (AWB) are provided. An input image is divided into blocks including pluralities of pixels. A hue value and a chroma value are calculated for each of the blocks. A color-changed block is detected by calculating, for each one of the blocks, differences between the hue and chroma values calculated for all blocks adjacent to the one of the blocks and the hue and chroma values calculated for the one of the blocks. A hue variance and a chroma variance are calculated for the entire input image if a number of the detected color-changed blocks is greater than or equal to a first threshold. The input image is determined as a non-monochromatic image, if the hue variance is greater than or equal to a second threshold or the chroma variance is greater than or equal to a third threshold.

Apparatus and method for classifying images

An image generating apparatus and method for emphasizing an edge, based on image characteristics by extracting an edge region from an input original image, and an edge gain indicating a degree for emphasizing the edge region and an edge threshold indicating a degree of complexity between pixels are calculated for each of a plurality of image regions of the original image. The extracted edge region is combined with the calculated edge gain. Thresholding is performed by adjusting the calculated edge threshold for the edge region combined with the edge gain, and the thresholding-applied edge region is combined with the original image to output a final image. By adaptively adjusting an edge gain and an edge threshold for a portion where an edge needs to be emphasized and the other portions in an image having multiple image characteristics, both edge emphasis and noise cancellation can be achieved together.

Image generating apparatus and method for emphasizing edge based on image characteristics

An image processing method and apparatus capable of easily detecting an edge of an object from an input image, in which the edge is detected using one step, without a pre-processing step, and a complicated trigonometric function is not used for gradient detection. The image processing method includes setting a window within an input image, analyzing the window to determine directions of edges of objects within the image included in the window, detecting edge information including the edge directions, and processing and outputting the window using the edge information.

Image processing method and apparatus for detecting an edge of an object within an image

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.

Growing community of inventors

Seoul, South Korea

Hee-Chan Park