Abstract: A video synopsis method for overlapping videos generated in different periods is applied to a video synopsis device. The video synopsis method includes dividing a monitoring film into a plurality of videos, acquiring a pixel difference between frames respectively from the plurality of videos at identical time sequence, acquiring a weighting parameter according to the pixel difference, and utilizing the weighting parameter to overlap the frames respectively from the plurality of videos so as to generate a composite frame.

Abstract: A video synopsis method for overlapping videos generated in different periods is applied to a video synopsis device. The video synopsis method includes dividing a monitoring film into a plurality of videos, acquiring a pixel difference between frames respectively from the plurality of videos at identical time sequence, acquiring a weighting parameter according to the pixel difference, and utilizing the weighting parameter to overlap the frames respectively from the plurality of videos so as to generate a composite frame.

Abstract: An image calibrating method for stitching images includes calculating contrast values of a plurality of images, and comparing the contrast values to set the image with maximal contrast value as a reference image; others of the plurality of images are set as target images. The image calibrating method further includes calculating cumulative distribution functions of the reference image and the target images respectively, and obtaining a transform function according to the cumulative distribution functions of the reference image and the target images for pixel adjustment of the target images. Further, a camera with an image calibrating function and a related image processing system are disclosed in the present invention.

Abstract: An image calibrating method for stitching images includes calculating contrast values of a plurality of images, and comparing the contrast values to set the image with maximal contrast value as a reference image; others of the plurality of images are set as target images. The image calibrating method further includes calculating cumulative distribution functions of the reference image and the target images respectively, and obtaining a transform function according to the cumulative distribution functions of the reference image and the target images for pixel adjustment of the target images. Further, a camera with an image calibrating function and a related image processing system are disclosed in the present invention.