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    • 3. 发明授权
    • Estimation of lighting conditions based on near-gray pixel detection using cylindrical boundaries
    • 基于使用圆柱边界的近灰度像素检测的照明条件的估计
    • US07724982B2
    • 2010-05-25
    • US11473353
    • 2006-06-22
    • Szepo Robert HungYing Xie Noyes
    • Szepo Robert HungYing Xie Noyes
    • G06K9/40
    • H04N9/735H04N1/6027H04N1/6086
    • This disclosure describes image processing techniques that facilitate the determination of the lighting condition associated with an image. Once the lighting condition is determined, white balance can be performed on the image such as by applying white balance gains defined for the lighting condition. According to the techniques of this disclosure, gray point lines are defined and plotted for the different lighting conditions, and cylindrical bounding volumes are defined around the gray point lines, e.g., in a three-dimensional color space. The image is then analyzed with respect to each of the cylindrical bounding volumes to determine how many pixels of the image fall within the respective cylindrical bounding volumes formed around the gray point lines for the different lighting conditions. Based on this analysis, the actual lighting condition can be determined. The use of cylindrical bounding volumes can significantly improve the process of determining lighting conditions relative to conventional techniques.
    • 本公开描述了有助于确定与图像相关联的照明条件的图像处理技术。 一旦确定了照明条件,可以对图像执行白平衡,例如通过应用为照明条件定义的白平衡增益。 根据本公开的技术,为不同的照明条件定义和绘制灰点线,并且例如在三维颜色空间中围绕灰点线限定圆柱形界限体积。 然后相对于每个圆柱形界限体积分析图像,以确定图像的多少像素落在形成在不同照明条件下的灰点线周围的相应圆柱形界限体积内。 基于此分析,可以确定实际的照明条件。 与常规技术相比,使用圆柱形包围体积可显着改善确定照明条件的过程。
    • 4. 发明申请
    • IMAGE QUALITY ENHANCEMENT WITH HISTOGRAM DIFFUSION
    • 图像质量增强与组织扩散
    • US20090110274A1
    • 2009-04-30
    • US11925189
    • 2007-10-26
    • Kalin AtanassovXiaoyun JiangXin ZhongYing Xie Noyes
    • Kalin AtanassovXiaoyun JiangXin ZhongYing Xie Noyes
    • G06K9/00
    • G06T5/40G06T5/009G06T2207/10016
    • Techniques for improving the quality of images are described. A first histogram of intensity values may be obtained for an input image and diffused to obtain a second histogram with better intensity coverage. The diffusion may be achieved by filtering the first histogram for multiple iterations with a diffusion function obtained based on a filter function and a diffusion control function. The filter function may control the rate and/or characteristics of the diffusion. The diffusion control function may control shifts in positions of lobes in the first histogram. A transformation function may be determined based on a first cumulative distribution function (CDF) for the first histogram and an inverse function for a second CDF for the second histogram. An output image may be generated by mapping each pixel value in the input image to a corresponding pixel value in the output image based on the transformation function.
    • 描述了提高图像质量的技术。 可以为输入图像获得强度值的第一直方图,并且扩散以获得具有更好的强度覆盖率的第二直方图。 可以通过使用基于滤波器函数和扩散控制功能获得的扩散函数对具有多次迭代的第一直方图进行滤波来实现扩散。 滤波器功能可以控制扩散的速率和/或特性。 扩散控制功能可以控制第一直方图中波瓣位置的偏移。 可以基于第一直方图的第一累积分布函数(CDF)和第二直方图的第二CDF的反函数来确定变换函数。 可以通过基于变换函数将输入图像中的每个像素值映射到输出图像中的对应像素值来生成输出图像。
    • 5. 发明申请
    • Dynamic automatic exposure compensation for image capture devices
    • 用于图像捕获设备的动态自动曝光补偿
    • US20080050109A1
    • 2008-02-28
    • US11508379
    • 2006-08-22
    • Ying Xie NoyesRuben M. Velarde
    • Ying Xie NoyesRuben M. Velarde
    • G03B7/08
    • H04N5/2351
    • Techniques are described for dynamic automatic exposure compensation within image capture devices. The techniques include dynamically adjusting a default target brightness for a scene to compensate an exposure value (EV) selected by an automatic exposure process. A sensor array obtains light information from the scene at a default target brightness and an image capture controller calculates brightness values of a plurality of regions in the scene based on the light information. An automatic exposure compensation module dynamically adjusts the default target brightness based on the brightness values for the plurality of regions in the scene and threshold values set for the sensor array to set an adjusted target brightness. The sensor array may then capture an image frame of the scene using an EV for the adjusted target brightness. The techniques also include building a hysteresis zone to substantially stabilize the adjusted target brightness over a sequence of image scenes.
    • 描述了在图像捕获装置内进行动态自动曝光补偿的技术。 这些技术包括动态调整场景的默认目标亮度,以补偿通过自动曝光过程选择的曝光值(EV)。 传感器阵列以默认目标亮度从场景获取光信息,并且图像捕获控制器基于光信息来计算场景中的多个区域的亮度值。 自动曝光补偿模块基于场景中的多个区域的亮度值和为传感器阵列设置的阈值动态地调整默认目标亮度,以设置调整的目标亮度。 传感器阵列然后可以使用用于调整的目标亮度的EV捕获场景的图像帧。 这些技术还包括构建滞后区域,以在一系列图像场景上基本上稳定调整的目标亮度。
    • 6. 发明申请
    • METHOD AND APPARATUS FOR ADAPTIVE AND SELF-CALIBRATED SENSOR GREEN CHANNEL GAIN BALANCING
    • 自适应和自校准传感器绿色通道增益平衡的方法和装置
    • US20070165116A1
    • 2007-07-19
    • US11470619
    • 2006-09-06
    • Szepo Robert HungYing Xie NoyesHsiang-Tsun Li
    • Szepo Robert HungYing Xie NoyesHsiang-Tsun Li
    • H04N5/217
    • H04N9/045
    • A method and apparatus for adaptive green channel odd-even mismatch removal to effectuate the disappearance of artifacts caused by the odd-even mismatch in a demosaic processed image. In one adaptive approach, a calibrated GR channel gain for red rows and a calibrated GB channel gain for blue rows are determined and are a function of valid pixels only in each respective region. After the calibration, in a correction process, the green pixels in red rows of a region are multiplied by the calibrated GR channel gain. On the other hand, the green pixels in blue rows are multiplied by the calibrated GB channel gain. Thus, after demosaic processing, the corrected image has essentially no artifacts caused by odd-even mismatch of the green channel. Alternately, the adaptive green channel odd-even mismatch removal method replaces the center green pixel of a region having an odd number of columns and rows with a normalized weighted green pixel sum total. The weighted green pixel sum total adds the center green pixel weighted by a first weighting factor, a sum of a first tier layer of weighted green pixel values based on a second weighting factor and a sum of a second tier layer of weighted green pixel values based on a third weighting factor.
    • 一种用于自适应绿色通道奇偶校验去除的方法和装置,以实现由去马赛克处理的图像中的奇偶校验失配引起的伪像的消失。 在一种自适应方法中,确定用于红色行的经校准的GR信道增益和用于蓝色行的校准的GB信道增益,并且仅在每个相应区域中是有效像素的函数。 在校准之后,在校正过程中,区域的红色行中的绿色像素乘以校准的GR通道增益。 另一方面,蓝色行中的绿色像素乘以校准的GB通道增益。 因此,在去马赛克处理之后,校正图像基本上没有由绿色通道的奇偶校正引起的伪像。 或者,自适应绿色通道奇偶校验去除方法用归一化加权的绿色像素总和替代具有奇数列和行的区域的中心绿色像素。 加权的绿色像素总和将基于第二加权因子的加权的绿色像素值的第一层的加权的第一加权因子和加权的绿色像素值的第二层的和加上由第一加权因子加权的中心的绿色像素, 在第三个加权因子。
    • 8. 发明申请
    • PREDICTIVE FOCUS VALUE CALCULATION FOR IMAGE CAPTURE DEVICES
    • 图像捕获设备的预测聚焦值计算
    • US20080069553A1
    • 2008-03-20
    • US11533620
    • 2006-09-20
    • Jingqiang LiSzepo Robert HungYing Xie NoyesChinchuan Andrew Chiu
    • Jingqiang LiSzepo Robert HungYing Xie NoyesChinchuan Andrew Chiu
    • G03B13/32G03B13/00
    • G02B7/36H04N5/23212H04N5/3532
    • Techniques are described for predictive focus value calculation within image capture devices. Image capture devices may include digital still cameras and digital video cameras. The techniques include performing an auto-focus process within an image capture device by predicting a focus value for a scene at a lens position of a lens included in the image capture device based on a corrupt focus value for the lens position calculated from a first frame directly after lens settlement. Therefore, the auto-focus process may determine size and direction of movement for the lens to a next lens position based on the predicted valid focus value, and move the lens to the next lens position during a second frame. In this way, the techniques may move the lens to another lens position during each frame, greatly reducing auto-focus latency by potentially doubling or tripling the speed of the auto-focus process.
    • 描述了用于在图像捕获装置内预测聚焦值计算的技术。 图像捕获设备可以包括数字静态照相机和数字摄像机。 这些技术包括通过基于从第一帧计算的透镜位置的损坏聚焦值预测图像拍摄装置中包括的透镜的透镜位置处的场景的焦点值来在图像拍摄装置内执行自动对焦处理 直接在镜头结算后。 因此,自动聚焦处理可以基于预测的有效焦点值来确定透镜到下一个透镜位置的移动的尺寸和方向,并且在第二帧期间将透镜移动到下一个透镜位置。 以这种方式,这些技术可以在每个帧期间将镜头移动到另一个镜头位置,通过将自动对焦过程的速度潜在地加倍或三倍大大降低了自动对焦延迟。
    • 10. 发明授权
    • Dynamic automatic exposure compensation for image capture devices
    • 用于图像捕获设备的动态自动曝光补偿
    • US07725022B2
    • 2010-05-25
    • US11508379
    • 2006-08-22
    • Ying Xie NoyesRuben M. Velarde
    • Ying Xie NoyesRuben M. Velarde
    • G03B7/08
    • H04N5/2351
    • Techniques are described for dynamic automatic exposure compensation within image capture devices. The techniques include dynamically adjusting a default target brightness for a scene to compensate an exposure value (EV) selected by an automatic exposure process. A sensor array obtains light information from the scene at a default target brightness and an image capture controller calculates brightness values of a plurality of regions in the scene based on the light information. An automatic exposure compensation module dynamically adjusts the default target brightness based on the brightness values for the plurality of regions in the scene and threshold values set for the sensor array to set an adjusted target brightness. The sensor array may then capture an image frame of the scene using an EV for the adjusted target brightness. The techniques also include building a hysteresis zone to substantially stabilize the adjusted target brightness over a sequence of image scenes.
    • 描述了在图像捕获装置内进行动态自动曝光补偿的技术。 这些技术包括动态调整场景的默认目标亮度,以补偿通过自动曝光过程选择的曝光值(EV)。 传感器阵列以默认目标亮度从场景获取光信息,并且图像捕获控制器基于光信息来计算场景中的多个区域的亮度值。 自动曝光补偿模块基于场景中的多个区域的亮度值和为传感器阵列设置的阈值动态地调整默认目标亮度,以设置调整的目标亮度。 传感器阵列然后可以使用用于调整的目标亮度的EV捕获场景的图像帧。 这些技术还包括构建滞后区域,以在一系列图像场景上基本上稳定调整的目标亮度。