Abstract: A false color suppression method for a digital image is described. The method is performed in a digital camera, for suppressing the false color of the digital image shot by the digital camera. The method includes separating a luminance part and a chrominance part of a digital image; extracting the chrominance part, and calculating a first color gamut component and a second color gamut component in the chrominance part; setting a critical value according to a photosensitivity during shooting by the digital camera; performing a corresponding pixel uniformization action on the pixel according to a relation between a difference between the pixel and adjacent neighboring pixels and the critical value respectively for the first color gamut component and the second color gamut component; and combining the uniformized chrominance part and the luminance part of the digital image to a suppressed image.

Abstract: A guiding method for photographing a panorama image is described. A motion vector between a current position of an alignment image in a real-time image and a joint position of the alignment image in the real-time image, and a direction indicator relative to the motion vector is displayed, such that when the digital camera device displays the real-time image, the digital camera device may display the direction indicator to guide a photographing position of a next image for a user, thereby simplifying the photographing of a panorama image and greatly decreasing an incidence that the user fails to photographing a panorama image.

Abstract: The micro-sensor for a micro image pick-up device includes a flexible circuit board and a circuit substrate. The flexible circuit board has an opening exposing an end of a plurality of metal wires. An image sensing device that electrically connected to a plurality of printed wires disposed on the circuit substrate. The circuit substrate is disposed at the opening of the flexible circuit board. The plurality of printed wires on the circuit substrate corresponds to and contacts the end of the plurality of metal wires exposed out of the flexible circuit board. With the design of the flexible circuit board, the steps of forming a plurality of wiring ducts on the circuit substrate and electrically connecting the printed wires of the circuit substrate by a plurality of connecting lines for transferring signals can be omitted.

Abstract: A sharpness processing method and system for a digital image are applied to an image capturing device for capturing a raw image. The method includes the steps. An image processing procedure is performed on the raw image to generate a registered image. A first sharpness enhancement table and a second sharpness enhancement table respectively sharpness attenuation at an outer-edge region and a central region of the registered image are loaded, and a range between the outer-edge region and the central region is defined as a plurality of critical regions. A sharpness enhancement weight table is loaded, and weight values of each critical region respectively corresponding to the first sharpness enhancement table and the second sharpness enhancement table are searched, for obtaining a sharpness enhanced value of each critical region. An image sharpness processing procedure is performed on the critical region, for correct the registered image into a digital image.

Abstract: A method for compensating camera movement solves the problem of the captured image becoming blurred due to involuntary camera movement in the following way. Firstly, a camera with a look-up table is provided. Next, after a trigger signal is received, the camera movement and the environmental brightness are detected to generate a movement value and a brightness index. A compensation mode and a set of parameters that correspond to the movement value and the brightness index are selected from the look-up table. Finally, when an image-capturing signal is received, the movement compensation modules of the camera are driven by referring to the compensation mode and the parameters to capture a sharp image in a best mode.

Abstract: A color interpolation method for a digital image is described, includes the following steps. Edge information is generated according to the Bayer pattern. A Bayer pattern image is processed by a horizontal band-pass filter and a vertical band-pass filter to generate a horizontal edge signal and a vertical edge signal. A weight process implements a weight adjustment on the horizontal edge signal and the vertical edge signal to generate a luminance signal and outputs the luminance signal to a subtraction unit. The subtraction unit carries out an operation according to the Bayer pattern image and an output result of the weight process to generate a chrominance pattern. The chrominance pattern is compensated through a chrominance interpolation process, so as to generate image signal patterns of different colors. The image signal patterns of different colors are output to an adder for an add operation, thereby outputting a complete color image.

Abstract: A method for compensating image data is adapted for an image sensor. The image sensor has a plurality of photo sensors arranged in an effective region and an optical black region. The method for compensating image data includes a plurality of monochromatic light representative values Si corresponding to pixel positions i is extracted from the photo sensors of the optical black region; a plurality of monochromatic image intensity values VO is extracted from the photo sensors of the effective region; the monochromatic light representative values Si are converted respectively to a plurality of monochromatic compensation values f(Si); and compensated image data VF is output after compensating the monochromatic image intensity values VO respectively based on the pixel positions i and the corresponding monochromatic compensation values f(Si). Through the method for compensating image data, a smear effect in the effective region can be compensated effectively.

Abstract: A method of reducing image noise is provided. In the method, during the process of reducing image noise by a bilateral filter, the image noise filtering intensity of a domain filter in the bilateral filter is adjusted according to whether a regional area of the image has a frame boundary, and the image noise filtering intensity of a range filter in the bilateral filter is adjusted through the intensity of a regional area, so as to improve the image noise reduction effect of the bilateral filter.

Abstract: A GPS module test system for automatically calibrating a test signal includes a GPS test fixture, a satellite signal simulator, and a computer. The GPS test fixture carries a GPS module under test and is electrically connected to the same through contact, so as to receive a digital signal generated by the GPS module after the test. The computer receives device information of the GPS module under test through the GPS test fixture, and controls the satellite signal simulator through a GPS signal sample database, so as to generate a GPS analog signal to test the GPS module under test. Thereafter, on receiving the digital signal generated by the GPS module under test and determining the received digital signal is attenuated, the computer automatically gains a transmitted test parameter, so as to transmit the GPS analog signal in a preferable state.

Abstract: A method for automatically selecting a scene mode applied in a photographic device is described. The method includes detecting an image to be captured; analyzing a principal feature of the image; comparing the principal feature with a feature standard of each scene mode according to a utilization rate ranging from high to low, so as to acquire a scene mode corresponding to the feature standard conforming to the principal feature; and adjusting current photographic parameters of the photographic device into photographic parameters corresponding to the acquired scene mode. By determining a comparison sequence according to utilization rate of each scene, the time for searching and comparing is reduced. Moreover, after each shooting, the utilization rate may be re-calculated according to the used scene mode, so as to quickly provide the scene mode required by a user.

Abstract: An image stabilization method for a camera is provided. The image stabilization method controls the shutter of the camera. The image stabilization method, according to the present invention, first detects whether a trigger signal has been inputted, wherein the trigger signal is inputted by a user and starts an image capturing process. Next, the time when the trigger signal was inputted is detected and recorded as a first time. Afterwards, a stabilization time is delayed based upon the first time. Finally, a drive signal is generated when the stabilization time ends, wherein the drive signal drives the shutter to turn on for executing the image capturing process.

Abstract: A compensation method for removing an image noise is applicable to compensate for noises generated by Bayer pattern color interpolation. The compensation method includes the following steps selecting a partial region in the Bayer pattern to set a selection region; selecting a plurality of color units from the selection region one by one, in which each of the color units at least includes a green pixel, a red pixel, and a blue pixel; sequentially performing a color weight adjustment on the green pixel, the red pixel, and the blue pixel; and compensating for the pixel in the selection region according to each color weight, so as to generate a recovered pixel.

Abstract: A method of reading out images is used for a digital image capturing device. The method includes the following steps: obtaining a first frame with a digital image capturing module; activating a pre-control signal with a processor when the first frame needs to be expanded; activating a control signal with a timing generator when the expansion of the first frame has finished to execute a first frame expanding process; and clearing the pre-control signal and the control signal when the expansion of the first frame procedure has finished.

Abstract: A compensation method for alleviating color shading in a digital image is adapted to correct a color shading phenomenon in a digital image that causes luminance differences between regions in the digital image.

Abstract: A method for predicting the quantity of pictures that can be taken is applied to a picture-taking function of a digital still camera. Firstly, a lookup table is individually built for different power using operations of a battery according to the operational modes of the picture-taking function. Next, the method looks up the corresponding lookup table according to an obtained battery voltage value of the digital still camera and the operational mode. Finally, a quantity of pictures that can be taken is obtained from the lookup table, and is displayed on a display unit of the digital still camera and is provided to the user. Thereby, the user can change the operational mode to reduce power consumption and take more pictures.

Abstract: A portable electronic device with an operation mode determined in accordance with power consumption and an operation mode switching method thereof are proposed. The method examines the voltage required by different systems to control every power system independently. By examining the capacity of a battery cell unit and comparing the capacity result with a first reference capacity and a second reference capacity, whether to offer operation power in order to operate a mobile communication module or a digital camera module is determined. Therefore, when a digital camera module, which has high power consumption requirements, is off, the mobile communication module can still operate to effectively use energy provided by the power supply unit.

Abstract: An automatic capturing method of a panoramic image for a digital camera panoramic image is presented. In the method, a motion vector value of an alignment image selected from a first image captured by the digital camera in a real-time image is continuously tracked, calculated, and accumulated to obtain an accumulated motion vector value. When the accumulated motion vector value reaches a preset threshold value, the digital camera is automatically driven to capture a second image, so as to stitch and blend the first image and the second image into a panoramic image. Through the automatic image capture mode, operations for capturing the panoramic image are simplified.

Abstract: A method for automatically shooting a panoramic image by a digital image pickup device is described. In the method, a pixel error value between a real-time image and an alignment image overlapped with each other is continuously compared and calculated. When the pixel error value is smaller than a preset threshold value, the digital image pickup device is automatically driven to shoot a second image to be stitched and blended with a previous image into a panoramic image. The shooting of the panoramic image is simplified by using automatic image capturing.

Abstract: A method for obtaining a precise sampling frequency of a global positioning system (GPS) is applied in a GPS receiver. First, a radio frequency (RF) module of the GPS receiver is used to receive a satellite signal from at least one satellite. Then, a plurality of code delays of the satellite signal is calculated at a fixed time interval, and time differences between all adjacent two code delays among all the obtained code delays are calculated to obtain a plurality of time differences. Next, a mean value of all the obtained time differences is calculated. At last, a ratio between 1000 times of the mean value and the fixed time interval is calculated to obtain an error value, and the error is added to a standard sampling frequency of the RF module to obtain a new sampling frequency.

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.