Abstract: A flashlight module adapted to be disposed on an image capturing device is provided. The image capturing device has a main body, a lens disposed on the main body and a lens ring disposed around the lens. The flashlight module includes a body and a flashlight. The body has a first end and a second end opposite to the first end, and the body is pivoted to the lens ring through the first end. The flashlight is disposed in the body. When the body is in a first status, the first end and the second end are adapted to be attached to the lens ring. When the body is in a second status, the second end is popped up to a predetermined distance.

Abstract: An apparatus for providing clock and a method thereof are provided. The provided apparatus includes a frequency generation unit and a control unit. The frequency generation unit decides amplitude of a clock signal to be a first amplitude or a second amplitude in response to a mode signal. The frequency generation unit converts an external oscillation signal into the clock signal. The control unit receives the clock signal, and outputs the mode signal in response to a system status signal. The control unit outputs the clock signal to external when determining that the clock signal has a stable oscillation. When the system status signal is a power on signal, the first amplitude is used as the amplitude of the clock signal, and when the system status signal is a power off signal, the second amplitude smaller than the first amplitude is used as the amplitude of the clock signal.

Abstract: A method and a device for generating a three-dimensional image are provided. In the method, in an Nth time slot, an Nth left-eye image is received and stored in a download buffer of a first memory unit by a first control unit. An Nth right-eye image is received and stored in a download buffer of a second memory unit by a second control unit, where N is a positive integer from 1 to M, and M is a positive integer. In an (N+1)th time slot, the Nth right-eye image is received from the second control unit through a data transmission interface and stored in a receive buffer of the first memory unit. In an (N+2)th time slot, the Nth left-eye image and the Nth right-eye image are combined into an Nth three-dimensional image stored in a display buffer of the first memory unit for real time display.

Abstract: An unlocking method of a touch screen and an electric device with camera function thereof are disclosed. A camera module is used for capturing a plurality of images. A touch screen shows an application function icon, a shooting mode icon, an activate area and a slide path connecting the icons and the activate area while the touch screen is locked. A processing module is electrically connected with the camera module and the touch screen. While detecting that the application function icon or the shooting mode icon is dragged to the activate area through the slide path, the processing module transmits an unlocking signal to the touch screen. The touch screen unlocks according to the unlocking signal and shows a screen of application function operation or a screen of camera function. Therefore, users would feel more convenient than before while using an electric device with camera function.

Abstract: An image processing method applied to an image processing device is capable of implementing bitstream stitching technique after interrupting image processing process. The image processing method includes steps of processing the i-th slice of N slices in an image to generate a plurality of first processed data; storing the first processed data in a memory unit; once an interrupting request is generated according to a requested process, storing stitching information associated with the last first processed data after processing the i-th slice; stopping processing the image and executing the requested process according to the interrupting request; continuing to process the (i+1)-th slice of the N slices to generate a plurality of second processed data after the requested process is finished; and storing the second processed data after the last first processed data in the memory unit according to the stitching information.

Abstract: This invention discloses an image capture device and an image synthesis method thereof. The image capture device comprises an image pickup module and a processing module. The image pickup module scans a plurality of visual angles of a scene in advance to obtain a plurality of temporary images. Each of the temporary images has a scanning focal length value. The processing module analyzes the plurality of temporary image of each of the visual angles to obtain a temporary focal length value. The processing module obtains a weighting focal length value by each temporary focal length value by using a function to control the image pickup module in order to perform a panorama image capturing process according to the weighting focal length value.

Abstract: An entered image is divided into a plurality of windows and it is determined, on a per-window basis, whether the image data within an applicable window is indicative of the color white, based upon the position of each window in the image and the continuity to its surrounding divided windows. A white balance method is performed based upon data of a window determined to be indicative of the color white. The present invention conducts a white balance process through the addition of determining the light source type weight and calculating the continuity of each divided window and its surrounding divided windows. In order the white balance process to accurately obtain the colors of an entered image even under the conditions of specific scenes with distinctive colors.

Abstract: An apparatus capable of detecting location of object contained in image data and its detecting method are disclosed. The apparatus comprises an image capturing module, a weight assignment module, and a processing module. The image capturing module is for capturing an image. The weight assignment module performs the pixel weight/probability assignment according to the priori information and the image, and figures out the initial gravity center of the object according to the object location initialization. The processing module performs the statistical analysis according to the result of the pixel weight/probability assignment and the initial gravity center of the object so as to obtain the analysis result and update the object location. The processing module determines whether or not the analysis result meets the preset value, if it does, the processing module outputs an estimated result; if it doesn't, the processing module repeats the foregoing processes.

Abstract: A license plate image-pickup device and an image white balance adjustment method thereof applicable to vehicles. The license plate image-pickup device comprises an image-sensing module, a recognition module, a data base and a processing module. The image-sensing module senses a scene to produce an image. The recognition module recognizes an object contained in the image and a license plate color feature contained in the object to produce recognition parameter set. The database saves parameter sets of reference objects and reference license plate color features respectively corresponding to the reference objects. The processing module searches the reference objects in the database according to the recognition parameter set, to obtain a corresponding reference license plate color feature, and adjusting the white balance of the image according to the corresponding reference license plate color feature.

Abstract: A face recognition system and a face recognition method thereof. The face recognition system comprises a storage module, a processing module and a display module. The storage module stores a plurality of face recognition codes, a plurality of face images or face coordinates corresponding to the plurality of face recognition codes. The processing module calculates an overlap rate of the (T?1)th face image that overlaps the Tth face image in the plurality of face images. When the overlap rate is greater than a first preset value, the processing module calculates a similarity between the (T?1)th face image and the Tth face image. If the similarity is smaller than a second preset value, the processing module retains the face recognition code of the (T?1)th face image. The display module displays the face recognition code in the Tth face image.

Abstract: An object tracking method includes steps of obtaining multiple first classifications of pixels within a first focus frame in a first frame picture, wherein the first focus frame includes an object to be tracked and has a first rectangular frame in a second frame picture; performing a positioning process to obtain a second rectangular frame; and obtaining color features of pixels around the second rectangular frame sequentially and establishing multiple second classifications according to the color feature. The established second classifications are compared with the first classifications sequentially to obtain an approximation value, compared with a predetermined threshold. The second rectangular frame is progressively adjusted, so as to establish a second focus frame. By analyzing color features of the pixels of the object and with a classification manner, the efficacy of detecting a shape and size of the object so as to update information of the focus frame is achieved.

Abstract: A lens driving module and an image pickup apparatus thereof include a driving barrel, a first zooming barrel, a second zooming barrel and a focusing barrel. An inner wall of the driving barrel has at least one first groove, at least one second groove and at least one controlling convex dot. The first zooming barrel, the second zooming barrel and an outer wall of the focusing barrel have at least one first-direction convex dot, at least one second-direction convex dot and at least one third groove respectively. At least one first-direction convex dot, at least one second-direction convex dot and at least one controlling convex dot are inserted in at least one first groove, at least one second groove and at least one third groove respectively. When the driving barrel is rotated, the lens driving module performs a zooming or focusing operation by each groove and each convex dot.

Abstract: A device and a method for predicting photograph timing. First, a detection step is performed. Then, a face determination step is performed to determine whether or not a face is shown. A face-classifying step is then performed. If a detected image is a non-front face, a difference generation step is then performed. A difference determination step is performed when a plurality of differences are obtained to determine whether or not the sequentially adjoined differences are reduced, wherein if the sequentially adjoined differences are reduced, a photographing timing is predicted according to a reduction degree of the differences. As a result, the probability of successfully photographing the front face can be enhanced. In addition, a training database that has both front face information and non-front face information can be utilized. As a result, it is not easy to determine the non-front face as the front face incorrectly.

Abstract: An electronic device includes a multi-field sensor, a memory, and a codec wrapper module, in which the codec wrapper module includes at least one encoder and at least one decoder. The encoder compresses raw data of an image into an image bit stream with a compression ratio through the following steps. The image is segmented into various image bands. Storage space is allocated in the memory and is segmented into various compressed band regions according to the compression ratio and a bit stream length of the raw data. A starting position of each compressed band region is recorded as a current ending position. Lines, sequentially received, are compressed into compressed bit streams respectively. The compressed bit streams are sequentially written into the corresponding compressed band regions according to field indexes of the lines, an output field order, and a group formed by the image bands corresponding to the lines.

Abstract: An image processing method, applicable to a digital image device, includes the following steps. At least one original image of different brightness ranges is captured, and more images of different brightness ranges are generated from the original image by using an image post-processing technique. Based on characteristics of the image of each brightness range, the weights of the image of each brightness range are defined. Then, hierarchical fusion is performed on the images of the different brightness ranges according to weight relations, so as to form a high-dynamic-range image capable of presenting features of each brightness range.

Abstract: An automatic focusing method and device in a high-noise environment are used for determining a focusing distance between a digital imaging device and an object to be photographed. The automatic focusing method includes the steps of capturing M pre-photographed images at different object distances respectively; loading the pre-photographed images; superposing every N (N<M) pre-photographed images to create (M?N+1) composite images; redefining the object distances corresponding to the (M?N+1) composite images; calculating high-frequency signals in the focusing regions of the (M?N+1) composite images; determining an optimum focusing object distance based on the relation between the high-frequency signals and corresponding object distances; and adjusting an automatic focusing lens to the optimum focusing object distance and accomplishing focusing.

Abstract: An image processing method and an apparatus using the same are provided. The method includes the following steps: deriving a global motion vector between a first image and a second image and providing the first image, the second image and the global motion vector to a first application process, wherein the first image is the previous image of the second image; deriving a first compensated image and a second compensated image by performing a lens distortion compensation process on the first image and the second image respectively; deriving a compensated global motion vector corresponding to the first compensated image and the second compensated image by transforming and correcting the global motion vector; and providing the first compensated image, the second compensated image, and the compensated global motion vector to a second application process.

Abstract: A method for adjusting resolution is applicable to an image capturing device, such that the image capturing device can analyze an amount of objects in the image captured thereby and determine a resolution for storing the image according to the amount of objects in the image, thereby making use of storage resources effectively. It is determined whether to zoom in/out the captured image or to lower the resolution of the image capturing device by analyzing the amount of the objects in the captured image and comparing the analyzed amount of the objects with one or more threshold values.

Abstract: An image positioning method, a POI tagging method and an apparatus therefor are described. The method is particularly to define a range corresponding to a positioning value translated by a global positioning system. Further, a point-of-interest (POI) is tagged according to the defined range. In an exemplary example, if there is no positioning signal detected as photographing an image, a previously received positioning signal is used to be the positioning value for the image. According to the preferred embodiment of the tagging method, an image is taken firstly, and then it's to determine a positioning value for the image. In which the positioning value may be determined on the instant of photographing. Alternatively, the positioning value may be retrieved from the image's attribute through playback software. Thereby, a range associated with the positioning value is defined. A corresponding point-of-interest is tagged to the image's attribute afterward.

Abstract: A device and a method for reducing a smear effect. The device comprises an image sensing module and a smear reduction module. The image sensing module captures an image and optical black data generated from the optical area of the image sensing module. The smear reduction module searches the optical black data generated in the lower boundary of the optical black area corresponding to which generated in the upper boundary of the optical black area according to coordinates of the optical black data. Thereby, the smear reduction module can compute an offset line representing an offset of the optical black data, and the smear reduction module compensates the smear effect occurring in the image.