Abstract: An image processing device, including a first corrector configured to generate a first corrected image obtained by correcting a local intensity of an input image based on a complexity of an intensity distribution of the input image and an intensity value of an area around a pixel; and a second corrector configured to generate a second corrected image obtained by correcting a global intensity of the first corrected image based on a histogram of the input image.

Abstract: A device for interpolating a color includes at least one processor to implement: a directions interpolation candidate values calculator configured to calculate third horizontal/vertical directions interpolation candidate values with respect to a pixel in a red (R) channel or a blue (B) channel on a Bayer color filter array pattern, based on a local gradient similarity between the R channel and a green (G) channel or a local gradient similarity between the B channel and the G channel; a directions interpolation weights calculator configured to calculate third horizontal/vertical directions interpolation weights based on the first horizontal/vertical directions interpolation candidate values by using a local complexity; and a G value interpolation execution unit configured to interpolate a G value of the pixel in the R channel or the B channel based on the calculated third horizontal/vertical directions interpolation candidate values and the third calculated horizontal/vertical directions interpolation weights.

Abstract: An image processing device, including a first corrector configured to generate a first corrected image obtained by correcting a local intensity of an input image based on a complexity of an intensity distribution of the input image and an intensity value of an area around a pixel; and a second corrector configured to generate a second corrected image obtained by correcting a global intensity of the first corrected image based on a histogram of the input image

Abstract: A device for interpolating a color includes at least one processor to implement: a directions interpolation candidate values calculator configured to calculate third horizontal/vertical directions interpolation candidate values with respect to a pixel in a red (R) channel or a blue (B) channel on a Bayer color filter array pattern, based on a local gradient similarity between the R channel and a green (G) channel or a local gradient similarity between the B channel and the G channel; a directions interpolation weights calculator configured to calculate third horizontal/vertical directions interpolation weights based on the first horizontal/vertical directions interpolation candidate values by using a local complexity; and a G value interpolation execution unit configured to interpolate a G value of the pixel in the R channel or the B channel based on the calculated third horizontal/vertical directions interpolation candidate values and the third calculated horizontal/vertical directions interpolation weights.

Abstract: Provided are an image processing device and an image enhancing method. The image enhancement method for the image processing device includes: calculating a first minimum value, a first maximum value, and a first average value of a luminance of a region based on a pixel in an image; calculating a first gain with respect to a pixel having a pixel value between the first minimum value and the first average value, and a second gain with respect to a pixel having a pixel value between the first average value and the first maximum value; and calculating a first correction value by correcting the pixel value of the pixel by using the first gain or the second gain according to a result of comparing the pixel value of the pixel with the first average value.

Abstract: A method of reducing moire includes generating a moire corrected image by performing moire correction on an input image; setting a moire correction weight for each pixel of the input image based on global luminance of the input image and local luminance of an area including the pixel; and correcting the moire corrected image by synthesizing the input image and the moire corrected image based on the moire correction weight.

Abstract: Provided are an image processing device and an image enhancing method. The image enhancement method for the image processing device includes: calculating a first minimum value, a first maximum value, and a first average value of a luminance of a region based on a pixel in an image; calculating a first gain with respect to a pixel having a pixel value between the first minimum value and the first average value, and a second gain with respect to a pixel having a pixel value between the first average value and the first maximum value; and calculating a first correction value by correcting the pixel value of the pixel by using the first gain or the second gain according to a result of comparing the pixel value of the pixel with the first average value.

Abstract: A method of reducing moire includes generating a moire corrected image by performing moire correction on an input image; setting a moire correction weight for each pixel of the input image based on global luminance of the input image and local luminance of an area including the pixel; and correcting the moire corrected image by synthesizing the input image and the moire corrected image based on the moire correction weight.

Abstract: Provided are a color moire reducing method, a color moire reducing apparatus, and an image processing apparatus. The color moire reducing method includes calculating a plurality of local color mean values around a pixel in a selected region of a current image, calculating difference values between the local color mean values and a maximum difference value from among the difference values, and setting a moire correction weight to the pixel on the basis of the maximum difference value.

Abstract: Provided are a color moire reducing method, a color moire reducing apparatus, and an image processing apparatus. The color moire reducing method includes calculating a plurality of local color mean values around a pixel in a selected region of a current image, calculating difference values between the local color mean values and a maximum difference value from among the difference values, and setting a moire correction weight to the pixel on the basis of the maximum difference value.