| Patent application number | Description | Published |
|---|
| 20100177210 | METHOD FOR ADJUSTING WHITE BALANCE - A white balance adjustment method is disclosed, in which a plurality of input pixels are transformed into a digital component color space, a hue region of each of the color-space transformed input pixels is determined, and a transformation matrix is determined according to the determined hue region. | 07-15-2010 |
| 20100214434 | APPARATUS AND METHOD FOR ADJUSTING WHITE BALANCE OF DIGITAL IMAGE - A method and an apparatus are provided for adjusting white balance of a digital image. An input image is converted into a YCbCr color space. White pixels of the converted input image are detected by determining whether each pixel of the converted input image is included in a preset region of the YCbCr color space. A gain of each channel is calculated from averages of R, G and B values of the detected white pixels. White balance adjustment is performed by applying the calculated gain of each channel to each pixel of the input image. | 08-26-2010 |
| 20100226579 | IMAGE PROCESSING METHOD AND APPARATUS FOR DETECTING AN EDGE OF AN OBJECT WITHIN AN IMAGE - 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. | 09-09-2010 |
| 20100238316 | APPARATUS AND METHOD FOR CLASSIFYING IMAGES - 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. | 09-23-2010 |
| 20110007969 | METHOD AND APPARATUS FOR CORRECTING LENS SHADING - 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. | 01-13-2011 |
| 20110032396 | EDGE-ADAPTIVE INTERPOLATION AND NOISE FILTERING METHOD, COMPUTER-READABLE RECORDING MEDIUM, AND PORTABLE TERMINAL - 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. | 02-10-2011 |
| 20110188774 | IMAGE GENERATING APPARATUS AND METHOD FOR EMPHASIZING EDGE BASED ON IMAGE CHARACTERISTICS - 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. | 08-04-2011 |
| 20110194764 | APPARATUS AND METHOD FOR REMOVING DEFECTIVE PIXELS - 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. | 08-11-2011 |
