Abstract: The present invention discloses a method and an apparatus for correcting lens distortion. In some feasible implementation manners of the present invention, image data acquired from a lens is corrected in a horizontal direction; the image data corrected in the horizontal direction is written into a dynamic memory; image data in the dynamic memory is corrected in a vertical direction; and lens distortion correction is performed in two steps: in the horizontal direction and in the vertical direction, so that lens distortion correction is implemented at a low cost. The present invention further discloses a corresponding apparatus for correcting lens distortion.

Abstract: Embodiments of the present invention disclose a radial distortion parameter acquiring method and apparatus. The method includes: randomly selecting a plane as a first plane; making an optical axis of a digital image capture device perpendicular to the first plane, and photographing the first plane to obtain a distorted image of the first plane; acquiring n arcs from the distorted image; and obtaining, by calculation, a radial distortion parameter of the digital image capture device according to the arcs. The apparatus includes: a selecting unit, a photographing unit, an acquiring unit, and a calculating unit. By applying the embodiments of the present invention, only one distorted image needs to be photographed to acquire a radial distortion parameter of a digital image capture device, and the distorted image can be acquired depending on a natural environment.

Abstract: An image processing method and apparatus, and an imaging device are provided. The method includes: obtaining a first green component value and a first red component value or first blue component value that are of the current pixel and obtained by using an interpolation algorithm, a minimum first-gradient value in horizontal and vertical directions, a minimum second-gradient value in inclined directions, a threshold for a green component, and a threshold for a red component or blue component; obtaining a corrected value of the green component and a corrected value of the red component or blue component of the current pixel; and obtaining a second green component value and a second red component value or second blue component value of the current pixel. The method may be used to reduce crosstalk of a color component in which the current pixel is located on other two color components obtained by interpolation.

Abstract: The present invention discloses a method and an apparatus for correcting lens distortion. In some feasible implementation manners of the present invention, image data acquired from a lens is corrected in a horizontal direction; the image data corrected in the horizontal direction is written into a dynamic memory; image data in the dynamic memory is corrected in a vertical direction; and lens distortion correction is performed in two steps: in the horizontal direction and in the vertical direction, so that lens distortion correction is implemented at a low cost. The present invention further discloses a corresponding apparatus for correcting lens distortion.

Abstract: An image processing method and apparatus, and an imaging device are provided. The method includes: obtaining a first green component value and a first red component value or first blue component value that are of the current pixel and obtained by using an interpolation algorithm, a minimum first-gradient value in horizontal and vertical directions, a minimum second-gradient value in inclined directions, a threshold for a green component, and a threshold for a red component or blue component; obtaining a corrected value of the green component and a corrected value of the red component or blue component of the current pixel; and obtaining a second green component value and a second red component value or second blue component value of the current pixel. The method may be used to reduce crosstalk of a color component in which the current pixel is located on other two color components obtained by interpolation.

Abstract: Embodiments of the present invention provide an image processing method and device. In the embodiments of the present invention, conversion processing is performed on an input image, which effectively eliminates an impact on image quality from such weather conditions as fog, dust-haze, sand storm and rain where atmospheric transparency is low, and can solve a problem in the prior art that image quality of a captured image or video is poor due to a scattering function of suspended particles in the atmosphere under such weather conditions as fog, dust-haze, sand storm and rain where atmospheric transparency is low, thereby improving contrast, saturation, and sharpness of an image or a video (namely, a multi-frame image). The technical solutions according to the present invention are easy to be implemented and have a low cost.

Abstract: Embodiments of the present invention disclose a radial distortion parameter acquiring method and apparatus. The method includes: randomly selecting a plane as a first plane; making an optical axis of a digital image capture device perpendicular to the first plane, and photographing the first plane to obtain a distorted image of the first plane; acquiring n arcs from the distorted image; and obtaining, by calculation, a radial distortion parameter of the digital image capture device according to the arcs. The apparatus includes: a selecting unit, a photographing unit, an acquiring unit, and a calculating unit. By applying the embodiments of the present invention, only one distorted image needs to be photographed to acquire a radial distortion parameter of a digital image capture device, and the distorted image can be acquired depending on a natural environment.

Abstract: Embodiments of the present invention disclose a parameter calibration method. The method includes: acquiring a calibration template image, where the calibration template image is obtained by photographing a calibration template; performing corner detection on the calibration template image to extract image corners; calculating a radial distortion parameter according to the extracted image corners; performing radial distortion correction according to the calculated radial distortion parameter, so as to reconstruct a distortion correction image; and according to a perspective projection relationship between the calibration template and the reconstructed distortion correction image, calculating intrinsic and extrinsic parameters to implement parameter calibration, where the intrinsic and extrinsic parameters include: a matrix of intrinsic parameters, a rotational vector, and a translational vector.

Abstract: Embodiments of the present invention provide an image processing method and device. In the embodiments of the present invention, conversion processing is performed on an input image, which effectively eliminates an impact on image quality from such weather conditions as fog, dust-haze, sand storm and rain where atmospheric transparency is low, and can solve a problem in the prior art that image quality of a captured image or video is poor due to a scattering function of suspended particles in the atmosphere under such weather conditions as fog, dust-haze, sand storm and rain where atmospheric transparency is low, thereby improving contrast, saturation, and sharpness of an image or a video (namely, a multi-frame image). The technical solutions according to the present invention are easy to be implemented and have a low cost.