An image processing method of processing a stereo image to impart a three-dimensional effect on a nearby object in a stereoscopic image system using a stereo camera of a parallel axis type including a left camera and a right camera, the stereo image including a left image obtained by the left camera and a right image obtained by the right camera, the method comprising: calculating a vertical rotation matrix for eliminating vertical parallax by converting the stereo image captured by the stereo camera to another image as if it is an image captured by a camera whose camera coordinate axes are obtained by rotating camera coordinate axes of the stereo camera about an origin of the camera coordinate axes of the stereo camera; in order for a convergence angle for stereoscopic image that is displayed by using the stereo image to be modified to correspond to a position of a near point according to an angle value provided by an input unit, calculating a first horizontal rotation matrix for adjusting a first horizontal parallax for the left image and a second horizontal rotation matrix for adjusting a second horizontal parallax for the right image; calculating a geometric transformation matrix for the stereo image based on each camera characteristic matrix representing lens characteristics of the stereo camera, the vertical rotation matrix, the first horizontal rotation matrix, and the second horizontal rotation matrix; and generating a new stereo image in which the vertical parallax is eliminated and the first horizontal parallax and the second horizontal parallax are adjusted by performing image warping for the stereo image captured by the stereo camera based on the calculated geometric transformation matrix; characterized in that the geometric transformation matrix is calculated by using an equation, the equation includes M L = K L R y T θ R rect K L − 1 and M R = K R R y T − θ R rect R LR K R − 1, and M L is a geometric transformation matrix for the left image among the stereo image captured by the stereo camera, M R is a geometric transformation matrix for the right image among the stereo image captured by the stereo camera, K L is a camera characteristic matrix representing lens characteristics of the left camera, K R is a camera characteristic matrix representing lens characteristics of the right camera, R y ( θ) is a first horizontal rotation matrix for adjusting the first horizontal parallax for the left image, R y (- θ) is a second horizontal rotation matrix for adjusting the second horizontal parallax for the right image, R rect is a vertical rotation matrix for adjusting the vertical parallax, R LR is a rotation matrix from a left camera coordinate system to a right camera coordinate system, a superscript -1 means an inverse matrix, and a superscript T means transpose of a matrix. calculating a vertical rotation matrix for eliminating vertical parallax by converting the stereo image captured by the stereo camera to another image as if it is an image captured by a camera whose camera coordinate axes are obtained by rotating camera coordinate axes of the stereo camera about an origin of the camera coordinate axes of the stereo camera; in order for a convergence angle for stereoscopic image that is displayed by using the stereo image to be modified to correspond to a position of a near point according to an angle value provided by an input unit, calculating a first horizontal rotation matrix for adjusting a first horizontal parallax for the left image and a second horizontal rotation matrix for adjusting a second horizontal parallax for the right image; calculating a geometric transformation matrix for the stereo image based on each camera characteristic matrix representing lens characteristics of the stereo camera, the vertical rotation matrix, the first horizontal rotation matrix, and the second horizontal rotation matrix; and generating a new stereo image in which the vertical parallax is eliminated and the first horizontal parallax and the second horizontal parallax are adjusted by performing image warping for the stereo image captured by the stereo camera based on the calculated geometric transformation matrix; characterized in that the geometric transformation matrix is calculated by using an equation, the equation includes M L = K L R y T θ R rect K L − 1 and M R = K R R y T − θ R rect R LR K R − 1, and M L is a geometric transformation matrix for the left image among the stereo image captured by the stereo camera, M R is a geometric transformation matrix for the right image among the stereo image captured by the stereo camera, K L is a camera characteristic matrix representing lens characteristics of the left camera, K R is a camera characteristic matrix representing lens characteristics of the right camera, R y ( θ) is a first horizontal rotation matrix for adjusting the first horizontal parallax for the left image, R y (- θ) is a second horizontal rotation matrix for adjusting the second horizontal parallax for the right image, R rect is a vertical rotation matrix for adjusting the vertical parallax, R LR is a rotation matrix from a left camera coordinate system to a right camera coordinate system, a superscript -1 means an inverse matrix, and a superscript T means transpose of a matrix.