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1. 发明申请

US20130286210A1 Bird-View Image Capture System and Bird-View Image Capture Method Thereof 审中-公开
标题翻译：鸟瞰图像捕获系统和鸟瞰图像捕获方法
公开(公告)号：US20130286210A1
公开(公告)日：2013-10-31
申请号：US13491889
申请日：2012-06-08
申请人： Chih-Huan Wu , Chung-Fang Chien , Ching-Shyang Lo
发明人： Chih-Huan Wu , Chung-Fang Chien , Ching-Shyang Lo
IPC分类号： H04N7/18
CPC分类号： H04N7/18 , B60R1/00 , B60R2300/303 , B60R2300/607 , G06K9/00791
摘要： A bird-view image capture system and a bird-view image capture method thereof. The system comprises a plurality of image capture modules, a processing module, a compositing module and a display module. Therein, each of the plurality of image capture modules captures an image respectively. The processing module analyzes the plurality of images to get a plurality of first images and a plurality of second images. The processing module converts the plurality of first images and the plurality of second images respectively to get a plurality of inboard images and a plurality of outboard images. The compositing module composes the plurality of inboard images and the plurality of outboard images as a plurality of compositing images. The compositing module composes each compositing image to produce a bird-view image. The display module displays the bird-view image.
摘要翻译：鸟瞰图像捕获系统及其鸟瞰图像捕获方法。该系统包括多个图像捕获模块，处理模块，合成模块和显示模块。其中，多个图像捕获模块中的每一个分别捕获图像。处理模块分析多个图像以获得多个第一图像和多个第二图像。处理模块分别转换多个第一图像和多个第二图像，以获得多个内部图像和多个外部图像。合成模块将多个内置图像和多个外侧图像组成多个合成图像。合成模块组成每个合成图像以产生鸟瞰图。显示模块显示鸟瞰图。

2. 发明申请

US20130093887A1 Obstacle Detection System and Obstacle Detection Method Thereof 审中-公开
标题翻译：障碍物检测系统及障碍物检测方法
公开(公告)号：US20130093887A1
公开(公告)日：2013-04-18
申请号：US13348148
申请日：2012-01-11
申请人： Chih-Huan Wu , Chung-Fang Chien
发明人： Chih-Huan Wu , Chung-Fang Chien
IPC分类号： H04N7/18
CPC分类号： B60R1/00 , B60R2300/307 , G01S13/42 , G01S13/867 , G01S13/931 , G01S15/025 , G01S15/42 , G01S15/931 , G01S2013/9317 , G01S2013/9353 , G01S2013/9375 , G01S2013/9378 , G06K9/00805
摘要： An obstacle detection system and a method thereof The obstacle detection system comprises an object detection module used to generate a detected distance and a detected direction of a external obstacle; a camera module used to capture a camera image including an obstacle image; a calculation module used to calculate a first region for the obstacle image in the camera image; and an object search module used to execute a first image processing on the camera image within the first region to obtain the obstacle image. If no obstacle is found within the first region, the calculation module is used to calculate a second region. The object search module is used to execute a second image processing within the second region to obtain the obstacle image.
摘要翻译：障碍物检测系统及其方法该障碍物检测系统包括用于产生检测距离的物体检测模块和外部障碍物的检测方向; 用于捕获包括障碍物图像的相机图像的相机模块; 用于计算相机图像中的障碍物图像的第一区域的计算模块; 以及对象搜索模块，用于对第一区域内的相机图像执行第一图像处理以获得障碍物图像。如果在第一区域内没有发现障碍物，则计算模块用于计算第二区域。对象搜索模块用于在第二区域内执行第二图像处理以获得障碍物图像。

3. 发明授权

US08270715B2 Method for correcting red-eye 有权
标题翻译：校正红眼的方法
公开(公告)号：US08270715B2
公开(公告)日：2012-09-18
申请号：US12339723
申请日：2008-12-19
申请人： Chung-Fang Chien , Che-Lun Chuang
发明人： Chung-Fang Chien , Che-Lun Chuang
IPC分类号： G06K9/00
CPC分类号： G06K9/0061
摘要： A method for correcting red-eye is described. Through facial features, at least one facial region is obtained in an image, a nose position in each facial region is obtained by using a nose feature, and at least one eye position is obtained based on a relative position relation between the nose and the eyes. After a color gamut of the image is converted, a red region is obtained from the eye position, and a plurality of edges is formed by using a luminance of the color gamut on the image with the converted color gamut according to the eye feature, so as to exclude the red region out of the plurality of edges, thereby improving accuracy of the red region on the eye position. Then, the red region is covered by an iris color, so as to correct the red-eye.
摘要翻译：描述了一种用于校正红眼的方法。通过面部特征，在图像中获得至少一个面部区域，通过使用鼻部特征获得每个面部区域中的鼻部位置，并且基于鼻子和眼睛之间的相对位置关系获得至少一个眼睛位置。在图像的色域被转换后，从眼睛位置获得红色区域，并且通过使用根据眼睛特征的具有转换色域的图像上的色域的亮度来形成多个边缘，因此以排除多个边缘之外的红色区域，从而提高眼睛位置上的红色区域的精度。然后，红色区域被虹膜颜色覆盖，以便校正红眼。

4. 发明申请

US20110081086A1 NOISE SUPPRESSION METHOD USING MULTIPLE DIGITAL 有权
标题翻译：使用多个数字的噪声抑制方法
公开(公告)号：US20110081086A1
公开(公告)日：2011-04-07
申请号：US12649041
申请日：2009-12-29
申请人： Chung-Fang Chien , Che-Hung Lin
发明人： Chung-Fang Chien , Che-Hung Lin
IPC分类号： G06K9/46
CPC分类号： G06T5/002 , G06T5/50 , G06T2207/20021
摘要： A noise suppression method using multiple digital images performs a de-noising process with the multiple digital images. First, a feature weighting procedure and an image feature compensation of a target pixel are performed on each digital image, and then a cross reference is performed on the multiple continuous or similar digital images to suppress noises for the target pixel.
摘要翻译：使用多个数字图像的噪声抑制方法利用多个数字图像执行去噪处理。首先，对每个数字图像执行特征加权过程和目标像素的图像特征补偿，然后对多个连续或相似的数字图像执行交叉参考以抑制目标像素的噪声。

5. 发明授权

US07822327B2 Method for automatically selecting scene mode 有权
标题翻译：自动选择场景模式的方法
公开(公告)号：US07822327B2
公开(公告)日：2010-10-26
申请号：US12197039
申请日：2008-08-22
申请人： Chung-Fang Chien , Che-Hung Lin
发明人： Chung-Fang Chien , Che-Hung Lin
IPC分类号： G03B17/00 , G03B7/00 , H04N5/225
CPC分类号： G03B7/097 , G03B7/28 , H04N5/232 , H04N5/23245
摘要： 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.
摘要翻译：描述了一种用于自动选择应用在照相装置中的场景模式的方法。该方法包括检测要捕获的图像; 分析图像的主要特征; 根据从高到低的利用率将主要特征与每个场景模式的特征标准进行比较，以便获得与符合主要特征的特征标准相对应的场景模式; 以及将所述摄影装置的当前摄影参数调整为与所获取的场景模式相对应的摄影参数。通过根据每个场景的利用率确定比较序列，减少了搜索和比较的时间。此外，在每次拍摄之后，可以根据所使用的场景模式重新计算利用率，以便快速提供用户所需的场景模式。

6. 发明申请

US20090161951A1 METHOD FOR CORRECTING RED-EYE 有权
标题翻译：校正红眼的方法
公开(公告)号：US20090161951A1
公开(公告)日：2009-06-25
申请号：US12339723
申请日：2008-12-19
申请人： Chung-Fang Chien , Che-Lun Chuang
发明人： Chung-Fang Chien , Che-Lun Chuang
IPC分类号： G06K9/00
CPC分类号： G06K9/0061
摘要： A method for correcting red-eye is described. Through facial features, at least one facial region is obtained in an image, a nose position in each facial region is obtained by using a nose feature, and at least one eye position is obtained based on a relative position relation between the nose and the eyes. After a color gamut of the image is converted, a red region is obtained from the eye position, and a plurality of edges is formed by using a luminance of the color gamut on the image with the converted color gamut according to the eye feature, so as to exclude the red region out of the plurality of edges, thereby improving accuracy of the red region on the eye position. Then, the red region is covered by an iris color, so as to correct the red-eye.
摘要翻译：描述了一种用于校正红眼的方法。通过面部特征，在图像中获得至少一个面部区域，通过使用鼻部特征获得每个面部区域中的鼻部位置，并且基于鼻子和眼睛之间的相对位置关系获得至少一个眼睛位置。在图像的色域被转换后，从眼睛位置获得红色区域，并且通过使用根据眼睛特征的具有转换色域的图像上的色域的亮度来形成多个边缘，因此以排除多个边缘之外的红色区域，从而提高眼睛位置上的红色区域的精度。然后，红色区域被虹膜颜色覆盖，以便校正红眼。

7. 发明申请

US20130286219A1 Image Calibration System and Image Calibration Method Thereof 审中-公开
标题翻译：图像校准系统及其图像校准方法
公开(公告)号：US20130286219A1
公开(公告)日：2013-10-31
申请号：US13491920
申请日：2012-06-08
申请人： Ching-Sung Yeh , Chung-Fang Chien
发明人： Ching-Sung Yeh , Chung-Fang Chien
IPC分类号： H04N17/06
CPC分类号： G06T7/80 , G06T2207/30208 , G06T2207/30252
摘要： An image calibration system and an image calibration method thereof. The image calibration system includes an image capture module capturing a calibration image, first and second calibration tools comprising first and second calibration graphs respectively and a processing module calculating first and second calibration templates in the calibration image based on the first and second calibration graphs, and comparing the calibration image and the first and second calibration templates so as to obtain at least one locating point.
摘要翻译：图像校准系统及其图像校准方法。图像校准系统包括捕获校准图像的图像捕获模块，分别包括第一和第二校准图的第一和第二校准工具，以及基于第一和第二校准图计算校准图像中的第一和第二校准模板的处理模块，以及比较校准图像和第一和第二校准模板，以便获得至少一个定位点。

8. 发明申请

US20130176436A1 Image Capturing Device Applied in Vehicle and Image Superimposition Method Thereof 审中-公开
标题翻译：图像捕获装置应用于车辆和图像叠加方法中
公开(公告)号：US20130176436A1
公开(公告)日：2013-07-11
申请号：US13407255
申请日：2012-02-28
申请人： Che-Hung Lin , Chung-Fang Chien
发明人： Che-Hung Lin , Chung-Fang Chien
IPC分类号： H04N7/18
CPC分类号： B60W50/14 , B60W2050/0063 , B60W2050/146 , B60W2420/42 , B60W2420/52 , B60W2520/10 , B60W2540/16 , B60W2540/18 , B60W2550/402
摘要： An image capturing device applied in a vehicle and an image superimposition method thereof. The image capturing device comprises an image capturing module, a processing module and an image superimposition module. The processing module dynamically controls a sampling time of a plurality of temporary images captured by the image capturing module according to driving information of the vehicle. The image superimposition module superimposes feature regions in the temporary images to produce at least one superimposed image based on the driving information of the vehicle.
摘要翻译：应用于车辆中的摄像装置及其图像叠加方法。图像捕获装置包括图像捕获模块，处理模块和图像叠加模块。处理模块根据车辆的驾驶信息动态地控制由图像捕获模块捕获的多个临时图像的采样时间。图像叠加模块基于车辆的驾驶信息将特征区域叠加在临时图像中以产生至少一个叠加图像。

9. 发明授权

US08244060B2 Noise suppression method for digital image 有权
标题翻译：数字图像的噪声抑制方法
公开(公告)号：US08244060B2
公开(公告)日：2012-08-14
申请号：US12649126
申请日：2009-12-29
申请人： Chung-Fang Chien , Che-Hung Lin
发明人： Chung-Fang Chien , Che-Hung Lin
IPC分类号： G06K9/40
CPC分类号： G06T5/002 , G06T2207/20012
摘要： A noise suppression method for a digital image is described, which utilizes an adjacent area of a target pixel in the digital image to conduct a denoising process on the target pixel. The noise suppression method includes the following steps. A feature-weighted processing procedure is performed on each original pixel in the digital image to convert the original pixel into a feature-weighted pixel. According to a position of the target pixel in the digital image, a reference pixel is selected from a corresponding position in the feature-weighted image. Similarities of the reference pixel relative to the other feature-weighted pixels are respectively computed. Through the computed similarities, a feature-weighted pixel for compensation is selected from the feature-weighted pixels other than the reference pixel. Finally, noise suppression is performed on the reference pixel by using the feature-weighted pixel for compensation.
摘要翻译：描述了一种用于数字图像的噪声抑制方法，其利用数字图像中的目标像素的相邻区域对目标像素进行去噪处理。噪声抑制方法包括以下步骤。对数字图像中的每个原始像素执行特征加权处理过程，以将原始像素转换成特征加权像素。根据数字图像中的目标像素的位置，从特征加权图像中的相应位置中选择参考像素。分别计算参考像素相对于其他特征加权像素的相似度。通过计算的相似度，从除参考像素之外的特征加权像素中选择用于补偿的特征加权像素。最后，通过使用用于补偿的特征加权像素对参考像素执行噪声抑制。

10. 发明授权

US08218867B2 Compensation method for removing image noise 失效
标题翻译：消除图像噪声的补偿方法
公开(公告)号：US08218867B2
公开(公告)日：2012-07-10
申请号：US12482706
申请日：2009-06-11
申请人： Chung-Fang Chien , Che-Hung Lin
发明人： Chung-Fang Chien , Che-Hung Lin
IPC分类号： G06K9/00 , G06K9/40
CPC分类号： G06T3/4015
摘要： 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.
摘要翻译：用于去除图像噪声的补偿方法适用于补偿由拜耳图案颜色插值产生的噪声。补偿方法包括以下步骤：选择拜耳图案中的部分区域以设置选择区域; 从选择区域逐个选择多个颜色单元，其中每个颜色单元至少包括绿色像素，红色像素和蓝色像素; 对所述绿色像素，所述红色像素和所述蓝色像素依次进行色彩权重调整; 并且根据每个颜色权重补偿选择区域中的像素，以便产生恢复的像素。

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