Abstract: An image processing device includes a camera unit, a control unit, an image processing unit and a storage unit. The camera unit obtains a first image. The control unit coupled to the camera unit adjusts an exposure value of the camera unit to control an average luminance value of the dark part of the first image and a contrast value of the first image. The storage unit is coupled to the control unit. The image processing unit is coupled to the camera unit and the storage unit, and it generates a second image according to the first image and a first algorithm stored in the storage unit, and generates a third image according to the first image and a second algorithm stored in the storage unit. The image processing unit generates a fourth image according to luminance values of the first image, the second image and the third image.

Abstract: An image processing method includes following steps: capturing an image including a human face; executing a face detection in a predetermined area of the image; adjusting an exposure value of the predetermined area to an expected value when the face detection does not recognize the human face; executing the face detection and analyzing an image information in a face area of the image when the exposure value of the predetermined area reaches the expected value; and selecting a model parameter and an image adjusting parameter correspondingly according to the image information, processing the face area of the image, and outputting a processed image to a human face recognition system.

Abstract: A method of applying virtual makeup adapted for an electronic device having a virtual makeup electronic system is provided. The method of applying virtual makeup includes the steps: receiving a plurality of facial images of different angles of a face to construct a 3D facial model; recording a real-time facial image of the face, and the 3D facial model varies with the face in real time according to the real-time facial image; providing 3D virtual makeup to the 3D facial model; converting the 3D virtual makeup to 2D virtual makeup according to a position and an angle of the real-time facial image; combining the real-time facial image and the 2D virtual makeup to generate an output image; and displaying the output image. A virtual makeup electronic system and an electronic device having a virtual makeup electronic system are further provided.

Abstract: The present invention discloses an image processing method and an electronic device using the same. The image processing method includes the following steps: (a) capturing a plurality of reference images corresponding to a plurality of exposure values; (b) executing a high dynamic range (HDR) algorithm based on the reference images to generate an HDR image; (c) enhancing an image quality of each of the reference images to generate a plurality of processed images; (d) selecting a candidate image which is most similar to the HDR image from the processed images; and (e) recording a first candidate automatic exposure value corresponding to the candidate image.

Abstract: An image processing method applied in an image processing device, which includes an image capturing unit, an image processing unit, an image recognition unit and an exposure adjusting unit, is provided. The image processing method includes the following steps: obtaining a first image by the image capturing unit, generating an average brightness of a dark part of the first image by the image processing unit; recognizing the first image by the image recognition unit; generating a first average brightness of a human face by the image processing unit and generating a first exposure value according to the average brightness of the dark part of the first image, the first average brightness of the human face and a weight array, when the human face is recognized from the first image; and adjusting an exposure of the first image according to the first exposure value by the exposure adjusting unit.

Abstract: Systems and methods herein may include or involve control circuitry that detects missing edges of reference and/or feedback clocks and may block the next N rising edges of the feedback clock or reference clock, respectively. In some implementations, a phase frequency detector (PFD) circuit comprises first circuitry including an output that outputs a missing edge signal. The first circuitry may include components arranged to detect a missing rising edge of one or both of a reference clock signal and a feedback clock signal. Second circuitry is coupled to the first circuitry and may include components arranged to generate one or both of a reference clock blocking signal and a feedback clock blocking signal based on the missing edge signal. Further, in some implementations, the blocking of the next N rising edges of the opposite clock may effectively increase the positive gain of the PFD.

Abstract: An image processing device includes a camera unit, a control unit, an image processing unit and a storage unit. The camera unit obtains a first image. The control unit coupled to the camera unit adjusts an exposure value of the camera unit to control an average luminance value of the dark part of the first image and a contrast value of the first image. The storage unit is coupled to the control unit. The image processing unit is coupled to the camera unit and the storage unit, and it generates a second image according to the first image and a first algorithm stored in the storage unit, and generates a third image according to the first image and a second algorithm stored in the storage unit. The image processing unit generates a fourth image according to luminance values of the first image, the second image and the third image.

Abstract: An image processing method includes following steps; capturing an image including a human face; executing a face detection in a predetermined area of the image; adjusting an exposure value of the predetermined area to an expected value when the face detection does not recognize the human face; executing the face detection and analyzing an image information in a face area of the image when the exposure value of the predetermined area reaches the expected value; and selecting a model parameter and an image adjusting parameter correspondingly according to the image information, processing the face area of the image, and outputting a processed image to a human face recognition system.

Abstract: A method for informing a user of the rotation of a dish in a Digital Video Broadcasting-Satellite system includes determining the duration of the rotation of the dish according to the angular velocity of the dish and the angle of the rotation; and outputting the duration of the rotation of the dish.