公开(公告)号：US20120293688A1

公开(公告)日：2012-11-22

申请号：US13467264

申请日：2012-05-09

申请人： Rastislav Lukac

发明人： Rastislav Lukac

IPC分类号： H04N9/68

CPC分类号： H04N5/235

摘要： A method for adjusting the brightness of a captured image from a digital camera includes calculating a reference exposure value using the capture parameters and calculating an actual exposure value as a function of ambient illumination parameters. The reference exposure and actual exposure values are compared to determine an actual image saturation value. The actual image saturation value is compared with the saturation value of the image sensor to determine a brightness adjustment factor, and the captured image is adjusted to compensate for overexposure or underexposure in response to the brightness adjustment factor. The image is scaled up or down using the brightness adjustment factor if the actual image saturation value is less than or more than the saturation value of the image sensor used to capture the image.

摘要翻译： 用于从数字照相机调整拍摄图像的亮度的方法包括使用捕获参数计算参考曝光值，并根据环境照明参数计算实际曝光值。 比较参考曝光和实际曝光值，以确定实际的图像饱和度值。 将实际图像饱和度值与图像传感器的饱和度值进行比较以确定亮度调节因子，并且调整拍摄图像以补偿响应于亮度调节因子的过度曝光或曝光不足。 如果实际图像饱和度值小于或大于用于捕获图像的图像传感器的饱和度值，则使用亮度调节因子将图像放大或缩小。

公开(公告)号：US20120293533A1

公开(公告)日：2012-11-22

申请号：US13475935

申请日：2012-05-18

申请人： Rastislav Lukac

发明人： Rastislav Lukac

IPC分类号： G06T11/20

CPC分类号： G06T11/20

摘要： A method for creating gamma correction and tone mapping effects in a digital image includes obtaining rendering parameters, generating the rendering curve using the rendering parameters or their subset, and applying the generated rendering curve to the input image.

摘要翻译： 用于在数字图像中创建伽马校正和色调映射效果的方法包括获得渲染参数，使用渲染参数或其子集生成渲染曲线，以及将生成的渲染曲线应用于输入图像。

公开(公告)号：US08131067B2

公开(公告)日：2012-03-06

申请号：US12337338

申请日：2008-12-17

申请人： Rastislav Lukac

发明人： Rastislav Lukac

IPC分类号： G06K9/00 ,  H04N5/228

CPC分类号： H04N9/045

摘要： An image processing apparatus that receives mosaic image data having settings of only one color component, R, G, or B, in each pixel and subjects the received mosaic image data to a series of image processing to generate color image data with settings of all the three color components, R, G, and B, in each pixel; wherein the mosaic image data has the form of a Bayer color filter array; and the image processing apparatus includes: a vertical-direction color difference component computation module; a horizontal-direction color difference component computation module; an edge direction determination module; a color component interpolation module; an oblique edge pixel detection module; an oblique edge direction determination module; and an oblique edge pixel interpolation correction module.

摘要翻译： 一种图像处理装置，其接收具有每个像素中仅一个颜色分量R，G或B的设置的镶嵌图像数据，并将所接收的马赛克图像数据进行一系列图像处理，以生成具有所有 每个像素中的三个颜色分量R，G和B; 其中所述马赛克图像数据具有拜耳滤色器阵列的形式; 并且所述图像处理装置包括：垂直方向色差分量计算模块; 水平方向色差分量计算模块; 边缘方向确定模块; 颜色分量插值模块; 斜边像素检测模块; 倾斜边缘方向确定模块; 和斜边像素插值校正模块。

公开(公告)号：US20110032269A1

公开(公告)日：2011-02-10

申请号：US12536254

申请日：2009-08-05

申请人： Rastislav Lukac ,  Ryuichi Shiohara

发明人： Rastislav Lukac ,  Ryuichi Shiohara

IPC分类号： G09G5/00 ,  G06K9/32

CPC分类号： G06T3/4015 ,  G06T3/403

摘要： Automatically resizing demosaicked full-color images using edge-orientation maps formed in the demosaicking process. In a first example embodiment, a method for automatic upsampling of a demosaicked image includes several acts. First, a demosaicked image and an edge-orientation map that was created during the creation of the demosaicked image are received. Next, pixels of the demosaicked image are filled into an upsampled image. Then, edge-orientation values of pixels of the edge-orientation map are filled into an upsampled edge-orientation map. Next, an interpolation direction is determined for each pixel in which upsampling of the demosaicked image should be performed using the upsampled edge-orientation map. Finally, missing pixels in the upsampled image are estimated by performing interpolation along the interpolation direction using available pixels surrounding each missing pixel location.

摘要翻译： 使用在去马赛克过程中形成的边缘方向图，自动调整大小的去马赛克全彩色图像。 在第一示例性实施例中，一种用于自动上采样分离图像的方法包括若干动作。 首先，接收在形成去马赛克图像时创建的去马赛克图像和边缘方向图。 接下来，将去马赛克图像的像素填充到上采样图像中。 然后，将边缘方向图的像素的边缘取向值填充到上采样的边缘方位图中。 接下来，对于其中应使用上采样的边缘方向图执行去马赛克图像的上采样的每个像素，确定插值方向。 最后，通过使用围绕每个丢失像素位置的可用像素沿着插值方向执行内插来估计上采样图像中的丢失像素。

公开(公告)号：US20100172584A1

公开(公告)日：2010-07-08

申请号：US12350037

申请日：2009-01-07

申请人： Rastislav Lukac ,  Christopher V. Olekas ,  Bojan Ljubuncic

发明人： Rastislav Lukac ,  Christopher V. Olekas ,  Bojan Ljubuncic

IPC分类号： G06K9/00

CPC分类号： G06K9/0061

摘要： Disclosed are methods, devices, and computer program products for red-eye detection in an image. In one example embodiment, a method for detecting red-eye objects in an image includes several acts. First, a set of candidate red-eye objects identified in the image is received. Then, features are extracted from the candidate red-eye objects and, with a plurality of classifiers, a false red-eye object is eliminated from the set of candidate red-eye objects based on the extracted features. First and second ones of the plurality of classifiers are optimized for classifying objects in a first range of sizes using first and second ones of the extracted features, respectively. Furthermore, third and fourth ones of the plurality of classifiers are also optimized for classifying objects using the first and second ones of the extracted features, respectively, but for objects in a second range of sizes.

摘要翻译： 公开了用于图像中的红眼检测的方法，装置和计算机程序产品。 在一个示例实施例中，用于检测图像中的红眼物体的方法包括若干动作。 首先，接收在图像中识别的一组候选红眼物体。 然后，从候选红眼物体中提取特征，并且利用多个分类器，基于所提取的特征，从该组候选红眼物体中消除假红眼物体。 对多个分类器中的第一和第二分类器进行了优化，以分别使用提取的特征中的第一和第二尺寸对第一尺寸范围内的对象进行分类。 此外，多个分类器中的第三和第四分类器还被优化以分别使用提取的特征中的第一和第二特征对对象进行分类，但是对于第二尺寸范围中的对象进行优化。

公开(公告)号：US20100002954A1

公开(公告)日：2010-01-07

申请号：US12167961

申请日：2008-07-03

申请人： Rastislav Lukac

发明人： Rastislav Lukac

IPC分类号： G06K9/40 ,  H04N5/21 ,  G06K9/32

CPC分类号： H04N5/772 ,  G06T3/4015 ,  H04N5/765 ,  H04N9/045 ,  H04N2209/046

摘要： An image processing method that demosaicks a mosaic input image to generate a full color output image. The image processing method calculates both vertical and horizontal luminance-chrominance difference components for each pixel of the mosaic input image. Next, the image processing method calculates an enhanced version of both vertical and horizontal luminance-chrominance difference components for each pixel of the mosaic input image. Then, the image processing method interpolates a G component for each of the original R and B components. Next, the image processing method detects a signal overshoot or undershoot in each interpolated G component and to clamps each interpolated G component with a detected signal overshoot or undershoot to the closest neighboring original G component. Next, the image processing method interpolates missing R and/or B components in each pixel location of the captured image.

摘要翻译： 一种图像处理方法，其将马赛克输入图像去马萨克以生成全色输出图像。 图像处理方法针对马赛克输入图像的每个像素计算垂直和水平亮度 - 色度差分量。 接下来，图像处理方法计算马赛克输入图像的每个像素的垂直和水平亮度 - 色差差分量的增强版本。 然后，图像处理方法针对原始R和B分量的每一个内插G分量。 接下来，图像处理方法检测每个内插G分量中的信号过冲或下冲，并且用检测到的信号过冲或下冲夹紧每个内插的G分量到最近的相邻原始G分量。 接下来，图像处理方法插值捕获图像的每个像素位置中丢失的R和/或B分量。

公开(公告)号：US20090244333A1

公开(公告)日：2009-10-01

申请号：US12058253

申请日：2008-03-28

申请人： Rastislav Lukac

发明人： Rastislav Lukac

IPC分类号： H04N9/083

CPC分类号： H04N9/045

摘要： The image processing procedure of the invention receives mosaic image data and calculates a vertical-direction color difference component with regard to each of pixel columns in the mosaic image data in a vertical direction and a horizontal-direction color difference component with regard to each of pixel rows in the mosaic image data in a horizontal direction. The mosaic image data is expressed by a combination of pixel columns with alternate arrangement of pixels of a G component and pixels of an R component in the vertical direction, pixel columns with alternate arrangement of pixels of the G component and pixels of a B component in the vertical direction, pixel rows with alternate arrangement of pixels of the G component and pixels of the R component in the horizontal direction, and pixel rows with alternate arrangement of pixels of the G component and pixels of the B component in the horizontal direction. The image processing procedure subsequently selects pixels of the R component and pixels of the B component from the mosaic image data, and compares a variation of the vertical-direction color difference component with a variation of the horizontal-direction color difference component with regard to each of at least the selected pixels to detect edge orientations of the at least selected pixels. The image processing procedure refers to the detected edge orientations, and interpolates a missing color component in each pixel of the mosaic image data with the settings of one color component in each pixel in the mosaic image data.

摘要翻译： 本发明的图像处理过程接收镶嵌图像数据，并且针对像素中的每一个像素，针对垂直方向上的马赛克图像数据中的每个像素列和水平方向色差分量计算垂直方向色差分量 在水平方向的马赛克图像数据中的行。 镶嵌图像数据由具有G分量的像素和垂直方向上的R分量的像素的交替布置的像素列的组合表示，G分量的像素和B分量的像素的交替排列的像素列 垂直方向，G分量的像素和水平方向的R分量的像素的交替排列的像素行以及G分量的像素和B分量的像素在水平方向上的交替排列的像素行。 图像处理过程随后从马赛克图像数据中选择R分量的像素和B分量的像素，并且将垂直方向色差分量的变化与水平方向色差分量的变化相关 至少选择的像素以检测至少所选择的像素的边缘取向。 图像处理过程是指检测到的边缘取向，并且利用马赛克图像数据中的每个像素中的一个颜色分量的设置来内插马赛克图像数据的每个像素中的缺失颜色分量。

公开(公告)号：US08849057B2

公开(公告)日：2014-09-30

申请号：US13465694

申请日：2012-05-07

申请人： Rastislav Lukac

发明人： Rastislav Lukac

IPC分类号： G06K9/40 ,  G06T5/00

CPC分类号： G06T5/004 ,  G06T2207/10004

摘要： A method for sharpening an original digital image includes generating a smoothed image from the original image. A residual image is generated from the smoothed image and the original image. A sharpened smoothed image is generated. The residual image and the sharpened smoothed image are combined to produce a sharpened version of the original image.

摘要翻译： 用于锐化原始数字图像的方法包括从原始图像生成平滑图像。 从平滑图像和原始图像生成残差图像。 产生锐化的平滑图像。 剩余图像和锐化的平滑图像被组合以产生原始图像的锐化版本。

公开(公告)号：US08351696B2

公开(公告)日：2013-01-08

申请号：US12961284

申请日：2010-12-06

申请人： Rastislav Lukac

发明人： Rastislav Lukac

IPC分类号： G06K9/00 ,  H04N9/64

CPC分类号： H04N9/045 ,  G06T5/005 ,  G06T5/20 ,  G06T2207/10024 ,  G06T2207/20012 ,  H04N5/367

摘要： A method for replacing defective pixels in a digital color image includes determining whether each pixel has defective data in a selected color channel; for the pixel, determining whether a first reference color channel exists and, if so, correcting the defective data by defining a group of neighboring pixels; for each of m neighboring pixels having non-defective data in the selected color channel and the reference color channel, computing a sum of the differences between the non-defective data in the selected color channel and the non-defective data in the first reference color channel; adding the sum of the differences divided by m to the non-defective data value from the first reference color channel to obtain a result; dividing the result by two to obtain a substitution data value; and substituting the substitution data value for the defective data.

摘要翻译： 一种用于替换数字彩色图像中的有缺陷的像素的方法包括：确定每个像素是否具有所选颜色通道中的缺陷数据; 对于像素，确定是否存在第一参考颜色通道，如果是，则通过定义一组相邻像素来校正缺陷数据; 对于在所选颜色通道和参考色彩通道中具有无缺陷数据的m个相邻像素中的每一个，计算所选颜色通道中的无缺陷数据与第一参考颜色中的无缺陷数据之间的差值之和 渠道; 将差除以m的和与第一参考色彩通道的无缺陷数据值相加，得到结果; 将结果除以2以获得替代数据值; 并用替代数据值代替缺陷数据。

公开(公告)号：US20120294525A1

公开(公告)日：2012-11-22

申请号：US13466405

申请日：2012-05-08

申请人： Rastislav Lukac

发明人： Rastislav Lukac

IPC分类号： G06K9/40

CPC分类号： G06K9/40 ,  A61B6/5258 ,  G06T5/002

摘要： A method for suppressing structured noise in a digital image includes creating a smoothed version of the original image. Monotonic and slowly-varying image regions are detected by analyzing a residual image which is the function of the original image and its smoothed version. A local window is defined in each pixel location identified in the thresholding process as the location with structured noise and samples inside the window are randomly permuted to randomize the noise structures. A noise-filtered version of the original residual image is generated. The noise-filtered residual and the smoothed version of the original image are combined to produce a final image.

摘要翻译： 一种用于抑制数字图像中的结构噪声的方法包括创建原始图像的平滑版本。 通过分析作为原始图像的函数的残差图像及其平滑版本来检测单调和缓慢变化的图像区域。 在阈值处理中识别的每个像素位置中定义了一个局部窗口，因为具有结构化噪声的位置和窗口内的样本被随机地置换以随机化噪声结构。 产生原始残留图像的噪声滤波版本。 噪声滤波的残差和原始图像的平滑版本被组合以产生最终图像。