Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.