Abstract: An image pick-up apparatus and a progressive auto-focus method thereof are provided. The image pick-up apparatus includes an optical system, an image sensor, a focus circuit and a lens control circuit. In the method, an image is captured by using the image sensor and whether the optical system is in focus when the image sensor captures the image is determined by the focus circuit. If the optical system is out of focus, an in-focus location of the optical system and an in-focus distance for moving the optical system to the in-focus location are calculated by the focus circuit. The in-focus distance is transformed into a shorter progressive distance and the optical system is controlled by the lens control circuit to move by the progressive distance. Aforesaid steps are repeated until the optical system is in focus and the image captured by the image sensor is output.

Abstract: An image pick-up apparatus and a progressive auto-focus method thereof are provided. The image pick-up apparatus includes an optical system, an image sensor, a focus circuit and a lens control circuit. In the method, an image is captured by using the image sensor and whether the optical system is in focus when the image sensor captures the image is determined by the focus circuit. If the optical system is out of focus, an in-focus location of the optical system and an in-focus distance for moving the optical system to the in-focus location are calculated by the focus circuit. The in-focus distance is transformed into a shorter progressive distance and the optical system is controlled by the lens control circuit to move by the progressive distance. Aforesaid steps are repeated until the optical system is in focus and the image captured by the image sensor is output.

Abstract: An inductive proximity antenna module includes a substrate having opposing first and second peripheral sides, a sensing element mounted on the substrate with one end thereof disposed adjacent to the first peripheral side of the substrate, an antenna mounted on the substrate and electrically connected to the sensing element and extended from the sensing element in direction toward the second peripheral side of the substrate, and a sensing circuit mounted on the substrate and connected to the sensing element for detecting an environmental variation value in a near-field range by the sensing element.

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.

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: An image-capturing system for automatically adjusting divergence angle includes an image-capturing unit, an auxiliary lighting unit and a control unit. The image-capturing unit includes an image sensor and a zoom lens adjacent to the image sensor. The image sensor is applied to capture images of at least one body through the zoom lens, and the zoom lens has a first variable focus. The auxiliary lighting unit includes at least one light-emitting element for generating light beams and at least one electrically-controlled zoom lens module adjacent to the light-emitting element, and the electrically-controlled zoom lens module has a second variable focus. The light beams generated by the light-emitting element can pass through the electrically-controlled zoom lens module to form a projection light source that can be projected onto the body. The control unit includes a voltage controlling module electrically connected between the image-capturing module and the auxiliary lighting device.

Abstract: A multi-frequency antenna includes a substrate, an antenna portion and a radiator. The antenna portion has a low-frequency radiation antenna and a high-frequency radiation antenna. By selectively coupling the low-frequency radiation antenna, the high-frequency radiation antenna and the radiator, the multi-frequency antenna can work in multiple frequency bands.

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: A processing method for image interpolation is provided. In the method, a contour containing a destination pixel and a plurality of contour pixels is produced and detected by using an edge detection method for a selected area in an original image. Next, two extreme points are identified from the contour pixels by judging the changing trend of brightness value of the contour pixels on the contour. Then using the changing trend and two extreme points determines whether the destination pixel is located at a transition area or a non-transition area. If the destination pixel is located at the non-transition area, an interpolation adjust value is calculated according to the brightness values of the two extreme points and the brightness value of the destination pixel. An interpolation result of the destination pixel is obtained by performing the interpolation on the selected area according to the interpolation adjust value.

Abstract: The present invention discloses an image sharpness processing apparatus and an image sharpness processing method thereof. The apparatus comprises an image capturing module and a processing module. The image capturing module captures an image having a plurality of pixels. The processing module gains a characteristic value corresponding to each pixel by analyzing each pixel in the image. The processing module calculates a first sharpening compensation value and a second sharpening compensation value of each pixel by using a first sharpening algorithm and a second sharpening algorithm respectively, and determines a weight value of the first sharpening algorithm and the second sharpening algorithm by the characteristic value. The processing module calculates a third sharpening compensation value according to the first sharpening compensation value and the second sharpening compensation value, so as to adjust the sharpness of the image.

Abstract: The invention is directed to an image processing device and a processing method thereof. The image processing device comprises an image calibration module estimating multiple local motions and global motions of unselected images relative to a target image and performing multiple motions calibrations so as to generate multiple calibrated images, a moving-object detection module determining if a difference value between each of the local motions and the corresponding global motions is greater than a threshold value and if a pixel difference value between each pixel point of the target image and each pixel point of the calibrated images is greater than a predetermined difference value so as to generate multiple object motion pointers, and an image blending module performing a calculation on each pixel point of the target and calibrated images based on the object motion pointers so as to generate a super-resolution image.

Abstract: A multi-frequency antenna includes a substrate, an antenna portion and a radiator. The antenna portion has a low-frequency radiation antenna and a high-frequency radiation antenna. By selectively coupling the low-frequency radiation antenna, the high-frequency radiation antenna and the radiator, the multi-frequency antenna can work in multiple frequency bands.

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: The invention is directed to an image processing device and a processing method thereof. The image processing device comprises an image calibration module estimating multiple local motions and global motions of unselected images relative to a target image and performing multiple motions calibrations so as to generate multiple calibrated images, a moving-object detection module determining if a difference value between each of the local motions and the corresponding global motions is greater than a threshold value and if a pixel difference value between each pixel point of the target image and each pixel point of the calibrated images is greater than a predetermined difference value so as to generate multiple object motion pointers, and an image blending module performing a calculation on each pixel point of the target and calibrated images based on the object motion pointers so as to generate a super-resolution image.

Abstract: The present invention discloses an image sharpness processing apparatus and an image sharpness processing method thereof. The apparatus comprises an image capturing module and a processing module. The image capturing module captures an image having a plurality of pixels. The processing module gains a characteristic value corresponding to each pixel by analyzing each pixel in the image. The processing module calculates a first sharpening compensation value and a second sharpening compensation value of each pixel by using a first sharpening algorithm and a second sharpening algorithm respectively, and determines a weight value of the first sharpening algorithm and the second sharpening algorithm by the characteristic value. The processing module calculates a third sharpening compensation value according to the first sharpening compensation value and the second sharpening compensation value, so as to adjust the sharpness of the image.

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.

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: 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: A video signal encoder/decoder with a 3D noise reduction function and a method thereof. The encoder comprises a storage module, a motion estimation module, a motion compensation module, a first noise reduction module and a coding module. The storage module stores at least one reference image. The motion estimation module receives a first image from an image input end and estimates a motion vector in accordance with the first image and the reference image. The motion compensation module produces motion compensation according to the reference image and the motion vector. The first noise reduction module produces a first noise reduction value with a temporal sequence association according to the first image and the motion compensation. The coding module produces coding data according to the motion compensation and the first noise reduction value.

Abstract: A processing method for image interpolation is provided. In the method, a contour containing a destination pixel and a plurality of contour pixels is produced and detected by using an edge detection method for a selected area in an original image. Next, two extreme points are identified from the contour pixels by judging the changing trend of brightness value of the contour pixels on the contour. Then using the changing trend and two extreme points determines whether the destination pixel is located at a transition area or a non-transition area. If the destination pixel is located at the non-transition area, an interpolation adjust value is calculated according to the brightness values of the two extreme points and the brightness value of the destination pixel. An interpolation result of the destination pixel is obtained by performing the interpolation on the selected area according to the interpolation adjust value.