Method for image stabilization of a video stream comprising image frames captured by a video camera, the video stream depicting a scene, the method comprising: performing electronic image stabilization to a first sub-set of image frames of the image frames of the video stream to compensate for a first oscillating movement of the video camera such that at least a portion of each image frame of the image frames of the first sub-set of image frames are building up a stable first view of the scene; applying a first edge mask to the first stable view of the scene, the first edge mask having a first width based on a first camera oscillation amplitude; comparing the first camera oscillation amplitude with a second camera oscillation amplitude, if the second camera oscillation amplitude differs from the first camera oscillation amplitude by a predetermined amount, the method further comprises: performing electronic image stabilization to a second sub-set of image frames of the image frames of the video stream to compensate for a second oscillating movement of the video camera such that at least a portion of each image frame of the image frames of the second sub-set of image frames are building up a stable second view of the scene; applying a second edge mask to the second stable view of the scene, the second edge mask having a second width based on the second camera oscillation amplitude; wherein the second sub-set of image frames is a set of image frames being captured later in time than the first sub-set of image frames; characterized in that the first and second edge masks are made up of image data gathered over time and shown in black and white or as blurred image data whilst the rest of the video stream is shown in color. performing electronic image stabilization to a first sub-set of image frames of the image frames of the video stream to compensate for a first oscillating movement of the video camera such that at least a portion of each image frame of the image frames of the first sub-set of image frames are building up a stable first view of the scene; applying a first edge mask to the first stable view of the scene, the first edge mask having a first width based on a first camera oscillation amplitude; comparing the first camera oscillation amplitude with a second camera oscillation amplitude, if the second camera oscillation amplitude differs from the first camera oscillation amplitude by a predetermined amount, the method further comprises: performing electronic image stabilization to a second sub-set of image frames of the image frames of the video stream to compensate for a second oscillating movement of the video camera such that at least a portion of each image frame of the image frames of the second sub-set of image frames are building up a stable second view of the scene; applying a second edge mask to the second stable view of the scene, the second edge mask having a second width based on the second camera oscillation amplitude; wherein the second sub-set of image frames is a set of image frames being captured later in time than the first sub-set of image frames; characterized in that the first and second edge masks are made up of image data gathered over time and shown in black and white or as blurred image data whilst the rest of the video stream is shown in color. performing electronic image stabilization to a second sub-set of image frames of the image frames of the video stream to compensate for a second oscillating movement of the video camera such that at least a portion of each image frame of the image frames of the second sub-set of image frames are building up a stable second view of the scene; applying a second edge mask to the second stable view of the scene, the second edge mask having a second width based on the second camera oscillation amplitude; wherein the second sub-set of image frames is a set of image frames being captured later in time than the first sub-set of image frames; characterized in that the first and second edge masks are made up of image data gathered over time and shown in black and white or as blurred image data whilst the rest of the video stream is shown in color.