Abstract: In order to restore blurred images more efficiently, the invention provides a method for restoring an image for an electronic device. The method for restoring the image includes steps as follows. An acceleration signal is generated when an image of a photographed object is received. The distance between the electronic device and the photographed object is measured for generating an object distance. The image is restored according to the acceleration signal and the object distance.

Abstract: A blur image adjusting method includes the following steps. Firstly, a blur image in YCbCr color space is obtained. The Y component of the blur image is extracted so as to obtain a Y component blur image. A blur area is extracted from the Y component blur image by an edge detection technology. A horizontal shift amount and a vertical shift amount are estimated according to a horizontal shift pixel number distribution and a vertical shift pixel number distribution of the blur area. A point spread function is determined according to the horizontal shift amount and the vertical shift amount. Afterwards, the blur image is adjusted according to the point spread function.

Abstract: A method and a device for stabilizing an image, a method for transmitting and receiving the image using the same are provided. In the method for stabilizing the image, a face detection step is performed on the image first to obtain a face area in the image. Then, the size and position of the face area are stabilized, and thus the problem that the face shakes in the image is solved.

Abstract: In order to restore blurred images more efficiently, the invention provides a method for restoring an image for an electronic device. The method for restoring the image includes steps as follows. An acceleration signal is generated when an image of a photographed object is received. The distance between the electronic device and the photographed object is measured for generating an object distance. The image is restored according to the acceleration signal and the object distance.

Abstract: A blur image adjusting method includes the following steps. Firstly, a blur image in YCbCr color space is obtained. The Y component of the blur image is extracted so as to obtain a Y component blur image. A blur area is extracted from the Y component blur image by an edge detection technology. A horizontal shift amount and a vertical shift amount are estimated according to a horizontal shift pixel number distribution and a vertical shift pixel number distribution of the blur area. A point spread function is determined according to the horizontal shift amount and the vertical shift amount. Afterwards, the blur image is adjusted according to the point spread function.

Abstract: A method for processing images and an electronic device using the same are provided, and the method includes the following steps. A plurality of pictures are successively captured in a frame. A shake parameter of each of the pictures relative to the preceding picture is analyzed. Each of the pictures is adjusted in the frame according to each of the shake parameters to allow the shake parameters to be close to zero. After each of the pictures is adjusted, it has at least a blank area in the frame. Each of the pictures has a boundary pattern adjacent to the blank area. Similar patterns for connecting the boundary patterns are searched for from a plurality of reference pictures. Afterwards, each of the similar patterns fills the corresponding each of the blank areas. The filled pictures are compressed. The compressed pictures are stored.