Patent application number | Description | Published |
20140219578 | IMAGE PROCESSING METHOD - An image processing method is provided and includes the following steps. A source image arranged in a Bayer pattern is captured. A first-order image process is performed on the source image to produce a first image in YCbCr format. A second-order image process is performed on the source image to produce a second image in YCbCr format. Then, a noise-reducing process is performed on the first image in YCbCr format to produce a noise-reduced image. A blending operation is performed on luminance image of the noise-reduced image and luminance image of the second image in YCbCr format, and thereafter a chrominance image is combined with the blended image to produce a processed image. A noise reducing degree of the noise-reduced image is higher than that of the second image in YCbCr format. | 08-07-2014 |
20140307054 | AUTO FOCUS METHOD AND AUTO FOCUS APPARATUS - An auto focus (AF) method adapted to an AF apparatus is provided. The AF method includes following steps. A target object is selected and photographed by a first image sensor and a second image sensor to generate a first image and a second image. A procedure of three-dimensional (3D) depth estimation is performed according to the first image and the second image to generate a 3D depth map. An optimization process is performed on the 3D depth map to generate an optimized 3D depth map. A piece of depth information corresponding to the target object is determined according to the optimized 3D depth map, and a focusing position regarding the target object is obtained according to the pieces of depth information. The AF apparatus is driven to execute an AF procedure according to the focusing position. Additionally, an AF apparatus is provided. | 10-16-2014 |
20150201182 | AUTO FOCUS METHOD AND AUTO FOCUS APPARATUS - An auto focus (AF) method adapted to an AF apparatus is provided. The AF method includes following steps. A first image is captured by using the first image sensor. At least one characteristic is detected based on the first image, and whether the characteristic meets a predetermined condition is determined. If the characteristic meets the predetermined condition, a focus depth is calculated according to a three-dimensional (3D) depth information and movement of a first lens of the first sensor is driven according to the focus depth for focusing. If the characteristic does not meet the predetermined condition, the first lens is driven to move for many times to obtain a plurality of contrast values, such that movement of the first lens is driven according to the contrast values for focusing. Additionally, an AF apparatus is provided. | 07-16-2015 |
20150213588 | IMAGE CAPTURING DEVICE AND METHOD FOR DETECTING IMAGE DEFORMATION THEREOF - 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. | 07-30-2015 |
20150213589 | IMAGE CAPTURING DEVICE AND METHOD FOR CALIBRATING IMAGE DEFORMATION THEREOF - 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. | 07-30-2015 |
20150215607 | IMAGE CAPTURING DEVICE AND METHOD FOR CALIBRATING IMAGE DEFORMATION THEREOF - A method for calibrating image deformation of an image capturing device having a first and second lens, a focusing actuator, and a prestored first focusing step-to-focusing distance relation includes the following steps. A plurality of image sets are captured by the first and second lens, where each of the image sets includes a first and second image, and the images sets include a reference image set. It is detected whether the reference image set is deformed. When the reference image set is detected to be deformed, the first focusing step-to-focusing distance relation is calibrated according to a focusing step and a focusing distance corresponding to each of the image sets, where the focusing step corresponding to each of the image sets is the number of steps that the focusing actuator is required to move the first and second lens to a focusing position to generate each of the image sets. | 07-30-2015 |
20150215615 | IMAGE CAPTURING DEVICE AND METHOD FOR CALIBRATING IMAGE DEFECTION THEREOF - A method for calibrating image defection of an image capturing device having a first and second lens, a focusing actuator, and a prestored first focusing step-to-focusing distance relation includes the following steps. A plurality of image sets are captured by the first and second lens, where each of the image sets includes a first and second image, and the images sets include a reference image set. It is detected whether the reference image set is defective. When the reference image set is detected to be defective, the first focusing step-to-focusing distance relation is calibrated according to a focusing step and a focusing distance corresponding to each of the image sets, where the focusing step corresponding to each of the image sets is the number of steps that the focusing actuator is required to move the first and second lens to a focusing position to generate each of the image sets. | 07-30-2015 |
20150365576 | IMAGE CAPTURING DEVICE AND METHOD FOR SHADING COMPENSATION THEREOF - A shading compensation method of an image capturing device, adapted to an image capturing device having a primary lens, a secondary lens, and a diffuser as well as pre-storing a primary-secondary lenses table and a secondary lens-diffuser table, includes the following steps. First, the secondary lens is covered by the diffuser. A scene is simultaneously captured by the primary lens and the secondary lens covered by the diffuser so as to generate a primary image and a diffused image. Next, according to the primary image and the diffused image, a shading compensation table corresponding to the scene is constructed by using the primary-secondary lenses table and the secondary lens-diffuser table. A shading compensation process is then performed on the primary image according to the shading compensation table so as to generate a compensated image. | 12-17-2015 |
20150365612 | IMAGE CAPTURE APPARATUS AND IMAGE COMPENSATING METHOD THEREOF - An image capture device and an image compensating method are provided. The image compensating method is for the image capture device and includes following steps. An image is captured under a current light source. The current light source is detected and a white balance process is executed so as to obtain current gain information of the current light source. A modifying parameter is determined according to the current gain information and reference gain information. The reference gain information is corresponding to a plurality of predefined color temperatures which are different to each other. A first shading compensation table is modified by using the modifying parameter to obtain a second shading compensation table. The image is compensated by using the second shading compensation table so as to generate a compensated image. | 12-17-2015 |