# US 2010/0166305 A1 · Method for detecting and correcting chromatic aberration, and apparatus and method for processing image using the same > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2010/0166305 A1 - Document ID: US20100166305A1 - Status: Published application - Kind: A1 - Application number: 12/615,729 - Filed: 2009-11-10 - Published: 2010-07-01 - Earliest claimed: 2008-12-31 - Assignees: Postech Academy-Industry Foundation - Inventors: Woo-Jin Song; Soon-Wook Chung; Byoung-Kwang Kim - Web page: https://patentgrep.com/patent/US20100166305A1 ## CPC - H04N 1/58: Edge or detail enhancement; Noise or error suppression, e.g. colour misregistration correction (H04N1/62 takes precedence) - G06T 5/80: Geometric correction - H04N 9/646: {for image enhancement, e.g. vertical detail restoration, cross-colour elimination, contour correction, chrominance trapping filters} - H04N 25/611: Correction of chromatic aberration - G06T 2207/10024: Color image - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract A method for detecting and correcting a chromatic aberration, and an apparatus and method for processing an image using the same are provided. A chromatic aberration is detected by dividing an edge portion of the image into static areas where a color varies below a reference value and a dynamic area where a color varies above the reference value, calculating a intensity difference value between at least one reference color and a comparative color for each of the static areas and the dynamic area, and determining at least one pixel having a intensity difference value exceeding a range of intensity difference values in the static areas among pixels in the dynamic area, as a chromatic aberration region. The chromatic aberration is corrected by correcting the intensity difference value for the pixels in the chromatic aberration region using a correction value in the intensity difference value range in the static area. ## Claims ### Claim 1 A method for processing an image, the method comprising: dividing an edge portion of the image into static areas where a color varies below a reference value and a dynamic area where a color varies above the reference value; calculating a intensity difference value between at least one reference color and a comparative color for each of the static areas and the dynamic area; determining at least one pixel having a intensity difference value exceeding a range of intensity difference values in the static areas among pixels in the dynamic area, as a chromatic aberration region; and correcting a intensity difference value for pixels in the chromatic aberration region. ### Claim 2 (depends on 1) The method of claim 1, wherein determining the at least one pixel having a intensity difference value exceeding a range of intensity difference values in the static area among pixels in the dynamic area, as a chromatic aberration region comprises: calculating maximum and minimum intensity difference values between a first reference color and the comparative color in the static area; and determining whether intensity difference values for the pixels in the dynamic area deviate from a range between the minimum and maximum intensity difference values. ### Claim 3 (depends on 1) The method of claim 1, wherein correcting the intensity difference value comprises correcting the intensity difference value for the pixels in the chromatic aberration region using a correction value in the intensity difference value range in the static area. ### Claim 4 (depends on 3) The method of claim 3, wherein the correction value is set as one between the maximum and minimum intensity difference values in the static area using linear interpolation. ### Claim 5 (depends on 1) The method of claim 1, wherein the comparative color and the at least one reference color are colors in a RGB color space. ### Claim 6 (depends on 5) The method of claim 5, wherein the comparative color is a green color. ### Claim 7 (depends on 1) The method of claim 1, wherein the comparative color and the at least one reference color are colors in any of a CMY color space, a HSI color space, a CIE color space, and a YCbCr color space. ### Claim 8 (depends on 1) The method of claim 1, further comprising representing the at least one reference color for the pixels in the chromatic aberration region on which correction for the intensity difference values is performed. ### Claim 9 An apparatus for processing an image, wherein the apparatus: detects a chromatic aberration by dividing an edge portion of the image into static areas where a color varies below a reference value and a dynamic area where a color varies above the reference value, calculating a intensity difference value between at least one reference color and a comparative color for each of the static areas and the dynamic area, and determining at least one pixel having a intensity difference value exceeding a range of intensity difference values in the static areas among pixels in the dynamic area, as a chromatic aberration region; and corrects the chromatic aberration by correcting the intensity difference value for the pixels in the chromatic aberration region using a correction value in the intensity difference value range in the static area. ### Claim 10 (depends on 9) The apparatus of claim 9, wherein the apparatus determines the at least one pixel by calculating maximum and minimum intensity difference values between a first reference color and the comparative color in the static area, and determining whether intensity difference values for the pixels in the dynamic area deviate from a range between the minimum and maximum intensity difference values. ### Claim 11 (depends on 9) The apparatus of claim 9, wherein the comparative color and the at least one reference color are colors in a RGB color space. ### Claim 12 (depends on 11) The apparatus of claim 11, wherein the comparative color is a green color. ### Claim 13 (depends on 9) The apparatus of claim 9, wherein the comparative color and the at least one reference color are colors in any of a CMY color space, a HSI color space, a CIE color space, and a YCbCr color space. ### Claim 14 A method for detecting and correcting a chromatic aberration in image processing that represents colors based on a RGB color space, the method comprising: dividing an edge portion of an image into static areas where a color varies below a reference value and a dynamic area where a color varies above the reference value; calculating a intensity difference value between a green color and first and second reference colors for the static areas and the dynamic area; determining at least one pixel having a intensity difference value exceeding a range of intensity difference values in the static areas among pixels in the dynamic area, as a chromatic aberration region; and correcting a intensity difference value for pixels in the chromatic aberration region to represent the first and second reference colors. ### Claim 15 (depends on 14) The method of claim 14, wherein the first reference color is a red color and the second reference color is a blue color. ### Claim 16 (depends on 14) The method of claim 14, wherein determining the at least one pixel having a intensity difference value exceeding a range of intensity difference values in the static area among pixels in the dynamic area, as a chromatic aberration region comprises: calculating maximum and minimum intensity difference values between the first reference color and the comparative color in the static area and between the second reference color and the comparative color in the static area; and determining whether intensity difference values for the pixels in the dynamic area deviate from a range between the minimum and maximum intensity difference values.