Attitude determination and control systems (AOCS) are an essential element for satellites, especially in remote sensing missions. However, current actuators used to control the platform attitude, as reaction wheels or magnetorquers, have some actual limitations, especially in small satellites. They add, periodically, a small jitter to the satellite attitude that, in addition to the high resolution of the current capturing systems, produces a non-negligible blur effect in the images. This Master thesis is focused on deblurring techniques to minimize and correct the distortion produced. Two main objectives are addressed to restore the blurred images. First, the data coming from the inertial sensors embarked on the satellite to infer the movement of the camera is used. Secondly, a deblurring technique for non-constant blurring over an image is applied. Furthermore, a software to test this methodology is presented and different tests are simulated using it.