Abstract: For sharing an application between mobile devices, an application share program is installed on mobile devices. The application share program is able to establish a link between at least one host mobile device and at least one client mobile device. A host mobile device shares a share session. An application of the share session is shared and installed on to the at least one client mobile device. And the application is uninstalled from the at least one client mobile device when the share session is terminated.

Abstract: A video processing method includes the steps of: inputting a video; matching multiple frames of the video according to corresponding positions, wherein one of the frames serves as a reference image; marking a motion region, to be preserved, in the video; and submerging a content of each of the frames, corresponding to the motion region, into the reference image to generate a replacement frame. An electronic device is also disclosed.

Abstract: For sharing an application between mobile devices, an application share program is installed on mobile devices. The application share program is able to establish a link between at least one host mobile device and at least one client mobile device. A host mobile device shares a share session. An application of the share session is shared and installed on to the at least one client mobile device. And the application is uninstalled from the at least one client mobile device when the share session is terminated.

Abstract: For transforming a 2D image into a 3D image, or for transforming a 2D animation into a 3D animation, depths of the 2D image or the 2D animation are required and corrected by enhancing edges. Moreover, a 3D model is generated according to a corrected 2D depth map, and the 3D model is then filmed by virtual cameras to generate the 3D image or the 3D animation. While generating the 3D animation, key frames are selected for reducing processing time, and depths of unselected frames between the key frames are calculated by using interpolation.

Abstract: A method of using a source device to control playback of a video file on a wireless display is disclosed. The method includes determining, with the source device, that the video file conforms to Moving Picture Experts Group (MPEG) transport stream and H.264 video format standards, wherein the video file is created without capturing contents of a screen of the source device, wirelessly transmitting the video file from the source device to the wireless display, and playing the video file on the wireless display while controlling playback using the source device.

Abstract: A video processing method includes the steps of: inputting a video; matching multiple frames of the video according to corresponding positions, wherein one of the frames serves as a reference image; marking a motion region, to be preserved, in the video; and submerging a content of each of the frames, corresponding to the motion region, into the reference image to generate a replacement frame. An electronic device is also disclosed.

Abstract: A method of performing eye correction is performed in an electronic device having an image processor, an image sensor, and a storage device. The image sensor captures image data, detects a pet face in the image data, and locates a plurality of candidate eye regions in the pet face. A classifier of the image processor verifies at least one eye region of the plurality of candidate eye regions, and the image processor recovers an abnormal pupil region of the at least one verified eye region.

Abstract: An image rectification method includes the steps of: detecting edges in an image by using a Canny filter; performing Hough transform on the edges to detect lines in the image; selecting a candidate quadrangle from quadrangles formed by the detected lines; obtaining a transform matrix for transforming the candidate quadrangle to a rectangle by homographic transform; rectifying the image by using the transform matrix; and enhancing the rectified image.

Abstract: A processing device for selecting files conveniently includes a processor and a display panel. The processor is used for receiving a first open command of a user, a browse command, a browse end command, a select command, a second open command, and a processing command. The processor opens a folder on the display panel according to the first open command, displays at least one file of the folder on the display panel according to the browse command, selects the file browsed by the user currently to a selected file list according to the select command, closes the folder displayed on the display panel according to the browse end command, opens a selected file list on the display panel according to the second open command, and processes all selected files of the selected file list according to the processing command.

Abstract: An image zooming method for adjusting an image in a monitor display area includes the steps of setting at least one focus region in the image in the monitor displaying area; obtaining a focus center in accordance with the focus region; setting a zooming rate of the image; obtaining a shift vector in accordance with a display center of the monitor display area, the focus center and the zooming rate; and shifting the image in the monitor display area in accordance with the shift vector, and setting the size of the image in the monitor display area in accordance with the zooming rate.

Abstract: A face image processing method is applied to an electronic device, such that the electronic device can perform a face detection to a digital image to obtain a face image in the digital image automatically, and perform a skin color detection to the face image to exclude non-skin features such as eyes, eyeglasses, eyebrows, a moustache, a mouth and nostrils on the face image, and form a skin mask in an area range of the face image belonging to skin color, and finally perform a filtering process to the area range of the face image corresponding to the skin mask to filter high-frequency, mid-frequency and low-frequency noises of an abnormal skin color in the area range of the face image, so as to quickly remove blemishes and dark spots existed in the area range of the face image.

Abstract: A method of estimating depths on a monocular image displayed on a display is utilized for improving correctness of depths shown on the display. Feature vectors are calculated for each patch on the monocular image for determining an intermediate depth map of the monocular image in advance. For improving the correctness of the intermediate depth map, an energy function in forms of vectors is minimized for calculating a best solution of the depth map of the monocular image. Therefore, the display may display the monocular image according to a calculated output depth map for having an observer of the display to correctly perceive depths on the monocular image.

Abstract: This invention is a method applicable to an image processing device, which includes the steps of providing a preprocess module for extracting a high-frequency portion of an image inputted into the device, extracting a gradient of the image and decomposing the image into plane and edge regions according to a predetermined fixed threshold, and providing a composite up-scaling module for executing the magnification processes on the image and the high-frequency portion thereof respectively, wherein the magnification process of plane regions of the image and the high-frequency portion is based on a simple interpolation while the edge regions of the image and the high-frequency portion is based on both a smart interpolation and the simple interpolation. The magnification results of the image and the high-frequency portion are then processed by a fusion process, so as to output an image having sharp but not blocky edges, rich details and strong contrast.

Abstract: This invention is a method applicable to an image processing device, which includes the steps of providing a preprocess module for extracting a high-frequency portion of an image inputted into the device, extracting a gradient of the image and decomposing the image into plane and edge regions according to a predetermined fixed threshold, and providing a composite up-scaling module for executing the magnification processes on the image and the high-frequency portion thereof respectively, wherein the magnification process of plane regions of the image and the high-frequency portion is based on a simple interpolation while the edge regions of the image and the high-frequency portion is based on both a smart interpolation and the simple interpolation. The magnification results of the image and the high-frequency portion are then processed by a fusion process, so as to output an image having sharp but not blocky edges, rich details and strong contrast.

Abstract: A face image processing method is applied to an electronic device, such that the electronic device can perform a face detection to a digital image to obtain a face image in the digital image automatically, and perform a skin color detection to the face image to exclude non-skin features such as eyes, eyeglasses, eyebrows, a moustache, a mouth and nostrils on the face image, and form a skin mask in an area range of the face image belonging to skin color, and finally perform a filtering process to the area range of the face image corresponding to the skin mask to filter high-frequency, mid-frequency and low-frequency noises of an abnormal skin color in the area range of the face image, so as to quickly remove blemishes and dark spots existed in the area range of the face image.

Abstract: This invention is a method applicable to an image processing device, which includes the steps of providing a preprocess module for extracting a high-frequency portion of an image inputted into the device, extracting a gradient of the image and decomposing the image into plane and edge regions according to a predetermined fixed threshold, and providing a composite up-scaling module for executing the magnification processes on the image and the high-frequency portion thereof respectively, wherein the magnification process of plane regions of the image and the high-frequency portion is based on a simple interpolation while the edge regions of the image and the high-frequency portion is based on both a smart interpolation and the simple interpolation. The magnification results of the image and the high-frequency portion are then processed by a fusion process, so as to output an image having sharp but not blocky edges, rich details and strong contrast.

Abstract: The present invention is to provide an image processing system and a method thereof implemented to a series of images in a video film of an outdoor scene, which includes: defining types of free-falling objects (such as raindrops, snowflakes or hailstones) related to natural weather; reading information of a selected type of the free-falling objects so as to randomly generate falling positions and vertical falling textures of the free-falling objects in each image; detecting a grayscale value of the image, and defining a certain region of the image where the grayscale value exceeds a predetermined grayscale value as a deposited region; simulating a deposited status of the free-falling objects in each deposited region; and integrating the vertical falling texture and the deposited status into the video film for simulating the free-falling objects in the images, so as to produce effects approximating real effects of natural weather in the video film.