# US 2014/0193079 A1 · Image correction method using approximately non-linear regression approach and related image correction circuit > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2014/0193079 A1 - Document ID: US20140193079A1 - Status: Published application - Kind: A1 - Application number: 13/858,101 - Filed: 2013-04-08 - Published: 2014-07-10 - Earliest claimed: 2013-01-10 - Assignees: Realtek Semiconductor Corp. - Applicants: Realtek Semiconductor Corp. - Inventors: Shih-Tse Chen; Hao-Tien Chiang - Web page: https://patentgrep.com/patent/US20140193079A1 ## CPC - G06T 5/80: Geometric correction - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract An image correction method arranged for processing an original image to obtain a corrected image includes steps: receiving the original image from an image sensor; regarding each pixel of the original image, calculating a horizontal distance and a vertical distance between the pixel and a reference point in the original image; determining a horizontal ratio parameter and a vertical ratio parameter according to the horizontal distance and the vertical distance between the pixel and the reference point in the original image; and performing an approximately non-linear regression calculation on the horizontal ratio parameter, the vertical ratio parameter and a coordinate of the pixel to obtain a position of the pixel in the corrected image. ## Claims ### Claim 1 An image correction method, arranged for processing an original image to obtain a corrected image, the image correction method comprising: receiving the original image from an image sensor; regarding each pixel of the original image, calculating a horizontal distance and a vertical distance between the pixel and a reference point in the original image; determining a horizontal ratio parameter and a vertical ratio parameter according to the horizontal distance and the vertical distance between the pixel and the reference point in the original image; and performing an approximately non-linear regression calculation on the horizontal ratio parameter, the vertical ratio parameter and a coordinate of the pixel to obtain a position of the pixel in the corrected image. ### Claim 2 (depends on 1) The image correction method of claim 1, wherein the reference point is a center point of the original image. ### Claim 3 (depends on 1) The image correction method of claim 1, further comprising: recording a position of each pixel of the corrected image corresponding to the original image in a look-up-table in a backward-wrapping manner, wherein the look-up table is arranged to be used in a driver or an application of an image capture/recording device. ### Claim 4 (depends on 1) The image correction method of claim 1, wherein the horizontal ratio parameter is in proportion to the vertical distance between the pixel and the reference point, and the vertical ratio parameter is in proportion to the horizontal distance between the pixel and the reference point. ### Claim 5 (depends on 1) The image correction method of claim 1, wherein the step of performing the approximately non-linear regression calculation on the horizontal ratio parameter, the vertical ratio parameter and the coordinate of the pixel to obtain the position of the pixel in the corrected image comprises: calculating (Rh*Whp1*Wvq1) as a horizontal distance difference between the pixel in the original image and the pixel in the corrected image; and calculating (Rv*Wvp2*Whq2) as a vertical distance difference between the pixel in the original image and the pixel in the corrected image; wherein Rh is a horizontal adjustment value, Rv is a vertical adjustment value, Wh is the horizontal ratio parameter, Wv is the vertical ratio parameter, and p1, p2, q1, q2 are four exponential parameters. ### Claim 6 (depends on 5) The image correction method of claim 5, wherein Wh=(αdv+k1), and Wv=(βdh+k2), where dh and dv are the horizontal distance and the vertical distance between the pixel and the reference point, respectively, and α, β, k1, and k2 are constants. ### Claim 7 An image correction circuit, arranged for processing an original image to obtain a corrected image, the image correction circuit comprising: a distance calculation unit, wherein regarding each pixel of the original image, the distance calculating unit is arranged for calculating a horizontal distance and a vertical distance between the pixel and a reference point in the original image; a ratio parameter determining unit, coupled to the distance calculation unit and arranged for determining a horizontal ratio parameter and a vertical ratio parameter according to the horizontal distance and the vertical distance between the pixel and the reference point in the original image; and an approximately non-linear regression adjustment unit, coupled to the ratio parameter determining unit and arranged for performing an approximately non-linear regression calculation on the horizontal ratio parameter, the vertical ratio parameter and a coordinate of the pixel to obtain a position of the pixel in the corrected image. ### Claim 8 (depends on 7) The image correction circuit of claim 7, wherein the reference point is a center point in the original image. ### Claim 9 (depends on 7) The image correction circuit of claim 7, further comprising: a storage unit, wherein the approximately non-linear regression adjustment unit records a position of each pixel of the corrected image corresponding to the original image in a look-up table in a backward-wrapping manner, and stores the look-up table in the storage unit. ### Claim 10 (depends on 7) The image correction circuit of claim 7, wherein the horizontal ratio parameter is in proportion to the vertical distance between the pixel and the reference point, and the vertical ratio parameter is in proportion to the horizontal distance between the pixel and the reference point. ### Claim 11 (depends on 7) The image correction circuit of claim 7, wherein the approximately non-linear regression adjustment unit calculation calculates (Rh*Whp1*Wvq1) as a horizontal distance difference between the pixel in the original image and the pixel in the corrected image; and calculates (Rv*Wvp2*Whq2) as a vertical distance difference between the pixel in the original image and the pixel in the corrected image, where Rh is a horizontal adjustment value, Rv is a vertical adjustment value, Wh is the horizontal ratio parameter, Wv is the vertical ratio parameter, and p1, p2, q1, q2 are four exponential parameters. ### Claim 12 (depends on 11) The image correction circuit of claim 11, wherein Wh=(αdv+k1) and Wv=(βdh+k2), where dh and dv are the horizontal distance and the vertical distance between the pixel and the reference point, respectively, and α, β, k1, and k2 are constants.