Abstract: A wireless network accessing method adaptable to a portable electronic device is provided. The wireless network accessing method includes following steps. A wireless access point (WAP) is connected. An authentication webpage is received from the WAP. A layout of the authentication webpage is analyzed by using a database to find out an account field and a password field of the authentication webpage. An account and a password input by a user are received. The account field filled with the account and the password field filled with the password are sent to the WAP.

Abstract: A method for adjusting brightness of an image, suitable for an image capturing apparatus with a flash lamp, is provided. In the method, an intensity of a main flash of the flash lamp is raised, and a sensitivity is reduced. When the main flash is fired by the flash lamp, a raw image is captured according to the reduced sensitivity for calculating a brightness mean value. A gain ratio is calculated according to the brightness mean value and a brightness target, so as to use the gain ratio to compensate the brightness of the raw image.

Abstract: A digital image processing device and processing method thereof are provided. The device includes a digital image capturing module, an image enlarging module, an image correcting module, and an image blending module. The digital image capturing module captures a plurality of first resolution images. The image enlarging module enlarges the first resolution images and produces a plurality of second resolution images. The image correcting module selects a target image and produces a plurality of corrected images. The image blending module performs direction gradient operation on each of the pixels of the target and corrected images and produces a plurality of gradient differential values. The image blending module performs a weighting sum operation on each of the pixels of the target and corrected images and produces a third resolution images.

Abstract: An image processing device and the processing method thereof are provided. The device includes an image correcting module, an object-motion detection module and an image blending module. The image correcting module estimates a plurality of local motions of the non-selected images relative to the target image and a plurality of global motions, and performs a plurality of motion corrections to generate a plurality of corrected images. The object-motion detection module judges whether or not the difference between each of the local motions and the corresponding global motion is greater than a threshold value to generate a plurality of object-motion indicators. The image blending module performs an arithmetic operation on each pixel of the target image and each pixel of the corrected images according to the object-motion indicators so as to generate a super-resolution image.

Abstract: An image processing method and an image processing apparatus are provided. In the image processing method, each of a plurality of original images is divided into K bands, where K is a positive integer greater than or equal to 1. A plurality of local motions of each band in any two adjacent of the original images are calculated, and a global motion of each band is calculated according to the local motions of the band. A horizontal component velocity and a vertical component velocity of each band are generated according to the global motion and a capturing time difference. A plurality of transformation matrixes corresponding to the bands are generated according to the horizontal component velocities, the vertical component velocities, a row readout time, and the width of a valid area. One of the two adjacent original images is transformed according to the transformation matrixes to generate a compensated image.

Abstract: A processing method for image file includes the following steps. An image file of an image is obtained, in which the image file includes a bit stream and an Exchangeable Image File (EXIF) data. A band indicator and a minimum coded unit (MCU) indicator are read according to an expanded range. A referential DC coefficient is obtained according to a hybrid direct current (DC) coefficient corresponding to a first MCU covered by the expanded range. A sub-clip of the MCU covered by the corresponding expanded range in the bit stream is decoded according to the read band indicator, the MCU indicator and the referential DC coefficient, so as to obtain at least one MCU.

Abstract: A photographic device having an optical image stabilization (OIS) module includes a compensation unit, a first position sensor, a second position sensor, a first vibration detection unit, a second vibration detection unit, a first actuator, a second actuator and a central processing unit (CPU). The CPU includes an anti-shake processing unit. The anti-shake processing unit processes vibration signals output by the first vibration detection unit and the second vibration detection unit and position signals output by the first position sensor and the second position sensor, and drives the first actuator and the second actuator to adjust positions of the compensation unit in the first direction and in the second direction and further compensate the shake of the photographic device having the OIS module in the first direction and in the second direction.

Abstract: A hierarchical face recognition training method and a hierarchical face recognition method thereof for performing a face feature recognition on an image under detection. The method includes a training process and a recognition process. The recognition method includes the steps. A plurality of training samples is obtained. The training samples are subdivided into a plurality of sub-image categories according to a plurality of angle intervals, and the training of a plurality of face features performs on a corresponding sub-image detector of each of the sub-image categories. The training measures performed repeatedly to generate sub-image categories at a sub-level of the sub-image categories. The training method includes the steps. An image under detection is loaded. A similarity of each of sub-image detectors compares according to the image under detection, and the sub-image detector having the highest similarity is selected. The face recognition measures performed repeatedly on the selected sub-image detector.

Abstract: A static image compression method, a computer readable data structure, and a computer readable storage medium are described. Firstly, an image is segmented into a plurality of sub-images. Then, each sub-image is sequentially compressed into a sub-data frame having a start character, so as to generate a compressed data with the sub-data frames interconnected according to a sequence of the sub-images. Finally, the addresses of the start characters are recorded to generate an index data. Thereby, the start character of a particular block can be obtained from the index data, and the sub-image of the particular block is preferentially decoded and displayed.

Abstract: An image capturing device and its assembly method are disclosed. The image capturing device comprises a main board, a metal plate and a sensing unit. The main board comprises a first hollowed block. The metal plate comprises a second hollowed block corresponded to the first hollowed block and is disposed at one side of the main board. The sensing unit is disposed at the other side of the main board. The metal plate is parallel to the sensing element. The first hollowed block and the second hollowed block are filled by a fastening material. In addition, the image plane of the sensing unit is perpendicular to the optical axis of the lens set. Therefore, image quality is improved.

Abstract: A method of multi-frame image noise reduction suitable for an image-capturing device includes following steps: obtaining a current frame and multiple reference frames; defining a mask and a target point in the mask; judging whether the target point pixel of the current frame is on an edge according to an edge map of the frame; when the pixel is on the edge, using the pixels in the reference frames on the edge to calculate a replacement result; when the target point pixel is not on the edge, using the pixels in the reference frames surrounding the target point to calculate a replacement result; after that, generating a pixel corresponding to the position of the target point in an output image according to the replacement result; further, moving the mask and going back to judge whether the pixel of the target point of the current frame is on the edge.

Abstract: A resolution test device and a method thereof are provided. The resolution test method is adapted for testing a resolution of a camera device. The resolution test method includes providing a graph to the camera device, capturing a test image shot by the camera device, shifting an analyzing window a specific distance in a first direction from a static area to a first area on the test image, analyzing the first area to generate a first high-pass element, shifting the analyzing window back to the static area, shifting the analyzing window the specific distance in a second direction from the static area to a second area on the test image, analyzing the second area to generate a second high-pass element, generating a third high-pass element according to the first and the second high-pass element, and defining the resolution of the camera device according to the third high-pass element.

Abstract: A method for adjusting photosensitiveness is able to determine a relative distance of an object in an image capture area through images captured before and after pre-flash of a flash lamp, so that the relative distance serves as a reference for adjusting current photosensitiveness of the digital camera, thereby capturing an image having better quality in a status that the flash lamp provides a fill light.

Abstract: An assisting focusing method is applicable in an image capture device having an auto focusing (AF) procedure. The AF procedure has a preset sampling interval. The assisting focusing method includes the following steps. An image for focusing is captured. A face parameter of a face block in the image for focusing is calculated. According to the face parameter, a parameter-to-focus conversion table is looked up to acquire a focusing section. According to the focusing section and a face sampling interval, the AF procedure is performed to acquire a target focus. The face sampling interval is smaller than the preset sampling interval.

Abstract: An image capturing device and an image processing method thereof are disclosed. The image capturing device comprises an image capturing module, a storage module and a processing module. The processing module, comprising a plurality of buffers, controls the image capturing module to capture the first image data, saves the first image data in the plurality of buffers sequentially, conducts image processing correspondingly, and generates processed data. Soon, the processing module conducts an image compression on the processed data and saves the processed data in the storage module. In addition, while conducting the image compression, the processing module controls the image capturing module to capture the second image data, saves the first image data in the plurality of buffers sequentially, and conducts image processing correspondingly.

Abstract: A circuit board is capable of reduce the effect of bowing. The circuit board comprises a substrate, a plurality of first vias, a plurality of second vias, and a plurality of first blocks. The substrate comprises a conductive layer outside the first blocks. The first vias pass through the substrate and the conductive layer. The first blocks would comprise the second vias, which passes through the substrate. The first vias and the first blocks can be individually or jointly disposed in a central area of the substrate, around a fastening hole, or around a circuit component. The fastening hole can be connected to at least one of the second vias by a conducting wire when the first block with the second vias is disposed around the fastening hole.

Abstract: A circuit layout of an image capturing device comprises a circuit board, an image capturing circuit, a flashlight circuit and a groove. The circuit board is a multilayered structure. The image capturing circuit is built on the circuit board. The flashlight circuit is built on the circuit board. The groove is formed on the multilayered structure of the circuit board and divides the circuit board into two areas where the image capturing circuit and the flashlight circuit are respectively disposed. The image capturing circuit is located at a first area, and the flash circuit is located at a second area. Therefore, the groove can prevent the interference between the image capturing circuit and the flashlight circuit.

Abstract: A continuous focusing method for a digital camera is described, which is applicable to determine whether the digital camera performs a focusing procedure or not when the digital camera switches from a first scene to a second scene in a live view stage. The continuous focusing method includes the following steps. A preview image of a second scene is obtained. A blur detection procedure is performed on the preview image, so as to acquire a corresponding focus value. It is determined whether the focus value exceeds a focusing threshold value or not; if not, a focusing procedure is performed; otherwise, if the focus value is greater than the focusing threshold value, the digital camera still maintains a current focusing focal length, which represents that a focusing focal length of the second scene is the same as that of the first scene.

Abstract: A method for analyzing object motion in multi frames adapted to an image capturing device is provided. Firstly, a plurality set of first sum of absolute difference (SAD) are obtained according to noise of the image capturing device under a plurality of light settings. Next, two frames are captured under a picturing light setting of the light settings. Then, a plurality of second SAD between the two frames are calculated. Afterwards, a plurality of object block within vein tracking of the object are found. Next, a local motion vector of each object block is respectively calculated according to the second SAD. Then, a first reliability of each object block is respectively calculated according to the second SAD and the set of the first SAD corresponding to the picturing light setting. Afterwards, the local motion vectors are estimated according to the first reliability to obtain a global motion vector.

Abstract: A camera including a main body, a lens and a flashlight module is provided. The main body has an image capturing unit. The lens is disposed on the main body at a position corresponding to the image capturing unit for guiding lights to the image capturing unit. The flashlight module includes a first light source and second light sources. The first light source is disposed on the main body and has a first emitting area. The second light sources are disposed on the main body and surround the first light source. Each second light source has a second emitting area. The second emitting areas surround the first emitting area.