Abstract: An image capturing device and a method for calibrating image deformation thereof are provided. The image capturing device has a first image sensor and a second image sensor and the method includes following steps. A plurality of image groups are captured through the first image sensor and the second image sensor. Each of the image groups includes a first image and a second image, and the image groups include a reference image group. Whether an image deformation occurs on a first reference image and a second reference image in the reference image group is detected. If it is detected that the image deformation occurs on the reference image group, a current calibration parameter is updated according to a plurality of feature point comparison values corresponding to the image groups. The current calibration parameter is used for performing an image rectification on each of the first images and the second images.

Abstract: An image capturing device and a method for detecting image deformation thereof are provided. The method is for the image capturing device having a first sensor and a second image sensor, and the method includes the following steps. A first image is captured through the first image sensor, and a second image is captured through the second image sensor. A deform detection is performed according to the first and second images so as to obtain a comparison information between the first and second images. Whether a coordinate parameter relationship between the first and second images being varied is determined according to the comparison information, in which the coordinate parameter relationship is associated with a spatial configuration relationship between the first and second image sensors.

Abstract: An image capturing device, a depth information generation method and an auto-calibration method thereof are provided. The methods are adapted to an image capturing device having dual lens without pre-alignment and include the following steps. A scene is captured by using the dual lens to generate a first image and a second image. First feature points and second feature points are respectively detected from the two images to calculate pixel offset information between the two images, and a rotation angle between the two images are obtained accordingly. An image warping process is performed on the two images according to the pixel offset information and the rotation angle to generate a first reference image and a second reference image aligned with the first reference image. Depth information of the scene is calculated or a stereoscopic image is generated according to the first reference image and the second reference image.

Abstract: An image processing system and a method for object-tracing are provided. The method includes: receiving a first wide field of view image and a first narrow field of view image, and determining a to-be-traced object therefrom and choosing one image therefrom for serving as a first output image; using an area size of the to-be-traced object in the first output image as a reference area; comparing the reference area with the area sizes of the to-be-traced object from a second wide field of view image and a second narrow field of view image respectively so as to determine one of that as a main image, and respectively zooming and deforming the main image and an area corresponding to the other image, and then fusing a zoomed and deformed second image as a second output image.

Abstract: The present invention discloses a method of capturing images and an image capturing device using the method. The image capturing device has a first lens module and a second lens module having a view angle which is smaller than that of the first lens module. The method comprises: increasing an exposure time and reducing a light sensitivity value of the first lens module and capturing a first image by using the first lens module; reducing the exposure time and increasing the light sensitivity value of the first lens module and capturing a second image by using the second lens module; extracting a plurality of image features from the first image and the second image respectively and determining a region corresponding to the second image in the first image; and merging the second image into the region in the first image to generate an output image.

Abstract: An image processing system and a method for object-tracing are provided. The method includes: receiving a first wide field of view image and a first narrow field of view image, and determining a to-be-traced object therefrom and choosing one image therefrom for serving as a first output image; using an area size of the to-be-traced object in the first output image as a reference area; comparing the reference area with the area sizes of the to-be-traced object from a second wide field of view image and a second narrow field of view image respectively so as to determine one of that as a main image, and respectively zooming and deforming the main image and an area corresponding to the other image, and then fusing a zoomed and deformed second image as a second output image.

Abstract: The present invention discloses a method of capturing images and an image capturing device using the method. The image capturing device has a first lens module and a second lens module having a view angle which is smaller than that of the first lens module. The method comprises: increasing an exposure time and reducing a light sensitivity value of the first lens module and capturing a first image by using the first lens module; reducing the exposure time and increasing the light sensitivity value of the first lens module and capturing a second image by using the second lens module; extracting a plurality of image features from the first image and the second image respectively and determining a region corresponding to the second image in the first image; and merging the second image into the region in the first image to generate an output image.

Abstract: The present invention discloses an image capturing device and a digital zoom method. The image capturing device comprises a first lens module, a second lens module, a feature extraction unit, an image zooming-deformation unit and an image merging unit. The first lens module and the second lens module are applied to capture a first image and a second image, respectively. The feature extraction unit extracts a plurality of first image features and second image features from the first image and the second image, respectively, and generating pixel offset characteristics. Based on a zoom factor and the pixel offset characteristics, the image zooming-deformation unit zooms and deforms the first and second images to generate a third image and a fourth image. The image merging unit bases the zoom factor to merge the third image and the fourth image for obtaining a combined image.

Abstract: An image capturing device and an image processing method are provided. The present method includes following steps. A first image and a second image are captured with a first focal length and a second focal length correspondingly. The motion corrected second image is produced by performing geometric correction procedure on the second image. A gradient operation is performed on each of the pixels of the first image to obtain a plurality of first gradients, and the gradient operation is performed on each of the pixels of the motion corrected second image to obtain a plurality of second gradients. The first gradients and the second gradients are compared and a first parameter map is generated according to the comparison results. A blending image is produced in according with the first parameter map and the first image, and an output image is produced at least in according with the blending image.

Abstract: An image capturing device and a digital zoom display method are provided. The device includes two lens modules configured to respectively capture a first image and a second image, and their capturing view fields are substantially identical, a preview processing unit configured to generate a third image by down-sampling the first image according to a display unit's resolution, a feature extraction unit, an image zooming and distortion unit and an image fusing unit. The second image is trimmed for generating a fourth image according to the same size of the third image. A pixel offset feature corresponding with the third and fourth images is generated by the feature extraction unit. The image zooming and distortion unit generates a fifth image and a sixth image according to the pixel offset feature and zoom ratio to the image fusing unit to generate a combined image displayed on the display unit.

Abstract: A method for adjusting focus position and an electronic apparatus are provided. Herein, a depth map is obtained according to a first image and a second image which are captured by a first lens and a second lens, respectively. A plurality of depth values included in the depth map is compared with a depth of field (DOF) table for obtaining a plurality of focus distances. An All-in-Focus (AIF) image is generated according to a plurality of focus images captured by the first lens with the focus distances, respectively. A blur process is executed for a plurality of pixels excluding a focus selected location in the AIF image, so as to obtain an adjusting image.

Abstract: The present disclosure illustrates an image adjusting system with multiple lens modules and method thereof. The system is adapted for an image capturing device having a zoom lens module and a prime lens module. When the zoom lens module and the prime lens module captures a first image and a second image, the image adjusting system can select a first reference calibration parameter table from multiple first calibration parameter tables, and search a current focus parameter from a focus parameter lookup table according to a current motor step, and then multiply the second image, the first reference calibration parameter table and the current focus parameter to generate a third image. Therefore, the third image has substantially consistent with the first image.

Abstract: An image capturing device and a method for calibrating image deformation thereof are provided. The image capturing device has a first image sensor and a second image sensor and the method includes following steps. A plurality of image groups are captured through the first image sensor and the second image sensor. Each of the image groups includes a first image and a second image, and the image groups include a reference image group. Whether an image deformation occurs on a first reference image and a second reference image in the reference image group is detected. If it is detected that the image deformation occurs on the reference image group, a current calibration parameter is updated according to a plurality of feature point comparison values corresponding to the image groups. The current calibration parameter is used for performing an image rectification on each of the first images and the second images.

Abstract: An image capturing device and a method for detecting image deformation thereof are provided. The method is for the image capturing device having a first sensor and a second image sensor, and the method includes the following steps. A first image is captured through the first image sensor, and a second image is captured through the second image sensor. A deform detection is performed according to the first and second images so as to obtain a comparison information between the first and second images. Whether a coordinate parameter relationship between the first and second images being varied is determined according to the comparison information, in which the coordinate parameter relationship is associated with a spatial configuration relationship between the first and second image sensors.

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 adjusting focus position and an electronic apparatus are provided. Herein, a depth map is obtained according to a first image and a second image which are captured by a first lens and a second lens, respectively. A plurality of depth values included in the depth map is compared with a depth of field (DOF) table for obtaining a plurality of focus distances. An All-in-Focus (AIF) image is generated according to a plurality of focus images captured by the first lens with the focus distances, respectively. A blur process is executed for a plurality of pixels excluding a focus selected location in the AIF image, so as to obtain an adjusting image.

Abstract: An image capturing device and an image processing method are provided. The present method includes following steps. A first image and a second image are captured with a first focal length and a second focal length correspondingly. The motion corrected second image is produced by performing geometric correction procedure on the second image. A gradient operation is performed on each of the pixels of the first image to obtain a plurality of first gradients, and the gradient operation is performed on each of the pixels of the motion corrected second image to obtain a plurality of second gradients. The first gradients and the second gradients are compared and a first parameter map is generated according to the comparison results. A blending image is produced in according with the first parameter map and the first image, and an output image is produced at least in according with the blending 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: 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: 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.