Transformation of a video image from a high dynamic range image to a low dynamic range image
    1.
    发明授权
    Transformation of a video image from a high dynamic range image to a low dynamic range image 失效
    将视频图像从高动态范围图像转换为低动态范围图像

    公开(公告)号:US08270759B2

    公开(公告)日:2012-09-18

    申请号:US12139541

    申请日:2008-06-16

    IPC分类号: G06K9/36

    CPC分类号: G09G5/02 G09G2340/0428

    摘要: A method and system for transforming a video image from a High Dynamic Range (HDR) image on an array of pixels to a Low Dynamic Range (LDR) image. An old luminance generated from a color space of the HDR image is scaled and segmented into stripes. Each stripe has at least one row of the array. A target zone surrounding a current pixel in each stripe is determined from a search strategy selected from a linear search strategy and a zone history-based search strategy. A convolution of the scaled luminance at a current pixel of each stripe is computed using a kernel specific to the target zone. The convolution is used to convert the stripes to tone-mapped luminance stripes which are collected to form a tone mapped luminance pixel array that is transformed to the color space to form the LDR image. The LDR image is stored and/or displayed.

    摘要翻译: 一种用于将视频图像从像素阵列上的高动态范围(HDR)图像转换为低动态范围(LDR)图像的方法和系统。 从HDR图像的颜色空间生成的旧亮度被缩放并分割成条纹。 每个条带至少有一行数组。 从从线性搜索策略和基于区域历史的搜索策略中选择的搜索策略确定围绕每个条带中的当前像素的目标区域。 使用特定于目标区域的内核来计算每个条带的当前像素处的缩放亮度的卷积。 卷积用于将条纹转换成色调映射的亮度条纹,其被收集以形成被变换到颜色空间以形成LDR图像的色调映射的亮度像素阵列。 存储和/或显示LDR图像。

    SPATIALLY SELECTIVE TRANSFORMATION OF A SPATIALLY VARYING OPTICAL CHARACTERISTIC OF AN IMAGE IN AN ARRAY OF PIXELS
    2.
    发明申请
    SPATIALLY SELECTIVE TRANSFORMATION OF A SPATIALLY VARYING OPTICAL CHARACTERISTIC OF AN IMAGE IN AN ARRAY OF PIXELS 失效
    在像素阵列中的图像的空间变化的光学特性的空间选择性转换

    公开(公告)号:US20090310887A1

    公开(公告)日:2009-12-17

    申请号:US12140330

    申请日:2008-06-17

    IPC分类号: G06K9/64

    CPC分类号: G06T5/20 G06T2207/20021

    摘要: A method and system for selectively transforming a spatially varying optical characteristic (F) of an image in a pixel array. The pixel array is segmented into stripes of contiguous rows. A two-dimensional convolution C(x, y) of F is determined at only selected pixels (x, y). C(x, y) is a function of a product of a horizontal kernel h(x) and a vertical kernel v(y). Determining C(x, y) at each selected pixel (x, y) includes determining n vertical convolutions, wherein each vertical convolution is equal to a scalar product of F and v(y) in a kernel space surrounding (x,y), forming an array (V) from the n vertical convolutions, and computing C(x,y) as a scalar product of V and a constant horizontal vector (H) formed from h(x). The stripes are collected to form a transformed image which is stored and/or displayed. A cache facilitates selective reuse of vertical convolutions for determining C(x,y).

    摘要翻译: 一种用于选择性地变换像素阵列中的图像的空间变化的光学特性(F)的方法和系统。 像素阵列被分割成连续行的条带。 在仅选择的像素(x,y)处确定F的二维卷积C(x,y)。 C(x,y)是水平核h(x)和垂直内核v(y)的乘积的函数。 确定每个所选像素(x,y)处的C(x,y)包括确定n个垂直卷积,其中每个垂直卷积等于围绕(x,y)的核空间中的F和v(y)的标量积, 从n个垂直卷积形成阵列(V),计算C(x,y)作为V的标量乘积和由h(x)形成的恒定水平向量(H)。 收集条纹以形成被存储和/或显示的变换图像。 高速缓存有助于选择性重用用于确定C(x,y)的垂直卷积。

    Load balancing for image processing using multiple processors
    3.
    发明授权
    Load balancing for image processing using multiple processors 有权
    使用多个处理器进行图像处理的负载平衡

    公开(公告)号:US08056086B2

    公开(公告)日:2011-11-08

    申请号:US12122827

    申请日:2008-05-19

    IPC分类号: G06F9/46

    CPC分类号: G06F9/5066

    摘要: A method and system for load balancing the work of NP processors (NP≧3) configured to generate each image of multiple images in a display area of a display device. The process for each image includes: dividing the display area logically into NP initial segments ordered along an axis of the display area; assigning each processor to a corresponding initial segment; assigning a thickness to each initial segment; simultaneously computing an average work function per pixel for each initial segment; generating a cumulative work function from the average work function per pixel for each initial segment; partitioning a work function domain of the cumulative work function into NP sub-domains; determining NP final segments of the display area by using the cumulative work function to inversely map boundaries of the sub-domains onto the axis; assigning each processor to a final segment, and displaying and/or storing the NP final segments.

    摘要翻译: 一种用于负载平衡NP处理器(NP≥3)的工作的方法和系统,其被配置为在显示设备的显示区域中生成多个图像的每个图像。 每个图像的处理包括:将显示区域逻辑地划分成沿显示区域的轴排列的NP初始段; 将每个处理器分配给相应的初始段; 为每个初始段分配一个厚度; 同时计算每个初始段的每像素的平均功函数; 从每个初始段的每像素的平均功函数产生累积函数函数; 将累积功能函数的功能域划分为NP子域; 通过使用累积功函数将子域的边界反向映射到轴上来确定显示区域的NP最终段; 将每个处理器分配给最终段,以及显示和/或存储NP最终段。

    TRANSFORMATION OF A VIDEO IMAGE FROM A HIGH DYNAMIC RANGE IMAGE TO A LOW DYNAMIC RANGE IMAGE
    4.
    发明申请
    TRANSFORMATION OF A VIDEO IMAGE FROM A HIGH DYNAMIC RANGE IMAGE TO A LOW DYNAMIC RANGE IMAGE 失效
    将视频图像从高动态范围图像转换为低动态范围图像

    公开(公告)号:US20090310015A1

    公开(公告)日:2009-12-17

    申请号:US12139541

    申请日:2008-06-16

    IPC分类号: H04N11/06

    CPC分类号: G09G5/02 G09G2340/0428

    摘要: A method and system for transforming a video image from a High Dynamic Range (HDR) image on an array of pixels to a Low Dynamic Range (LDR) image. An old luminance generated from a color space of the HDR image is scaled and segmented into stripes. Each stripe has at least one row of the array. A target zone surrounding a current pixel in each stripe is determined from a search strategy selected from a linear search strategy and a zone history-based search strategy. A convolution of the scaled luminance at a current pixel of each stripe is computed using a kernel specific to the target zone. The convolution is used to convert the stripes to tone-mapped luminance stripes which are collected to form a tone mapped luminance pixel array that is transformed to the color space to form the LDR image. The LDR image is stored and/or displayed.

    摘要翻译: 一种用于将视频图像从像素阵列上的高动态范围(HDR)图像转换为低动态范围(LDR)图像的方法和系统。 从HDR图像的颜色空间生成的旧亮度被缩放并分割成条纹。 每个条带至少有一行数组。 从从线性搜索策略和基于区域历史的搜索策略中选择的搜索策略确定围绕每个条带中的当前像素的目标区域。 使用特定于目标区域的内核来计算每个条带的当前像素处的缩放亮度的卷积。 卷积用于将条带转换成色调映射的亮度条纹,其被收集以形成被变换到颜色空间以形成LDR图像的色调映射的亮度像素阵列。 存储和/或显示LDR图像。

    Spatially selective transformation of a spatially varying optical characteristic of an image in an array of pixels
    5.
    发明授权
    Spatially selective transformation of a spatially varying optical characteristic of an image in an array of pixels 失效
    在像素阵列中的图像的空间变化的光学特性的空间选择性变换

    公开(公告)号:US08160388B2

    公开(公告)日:2012-04-17

    申请号:US12140330

    申请日:2008-06-17

    IPC分类号: G06K9/36 G06K9/64

    CPC分类号: G06T5/20 G06T2207/20021

    摘要: A method and system for selectively transforming a spatially varying optical characteristic (F) of an image in a pixel array. The pixel array is segmented into stripes of contiguous rows. A two-dimensional convolution C(x, y) of F is determined at only selected pixels (x, y). C(x, y) is a function of a product of a horizontal kernel h(x) and a vertical kernel v(y). Determining C(x, y) at each selected pixel (x, y) includes determining n vertical convolutions, wherein each vertical convolution is equal to a scalar product of F and v(y) in a kernel space surrounding (x,y), forming an array (V) from the n vertical convolutions, and computing C(x,y) as a scalar product of V and a constant horizontal vector (H) formed from h(x). The stripes are collected to form a transformed image which is stored and/or displayed. A cache facilitates selective reuse of vertical convolutions for determining C(x,y).

    摘要翻译: 一种用于选择性地变换像素阵列中的图像的空间变化的光学特性(F)的方法和系统。 像素阵列被分割成连续行的条带。 在仅选择的像素(x,y)处确定F的二维卷积C(x,y)。 C(x,y)是水平核h(x)和垂直内核v(y)的乘积的函数。 确定每个所选像素(x,y)处的C(x,y)包括确定n个垂直卷积,其中每个垂直卷积等于围绕(x,y)的核空间中的F和v(y)的标量积, 从n个垂直卷积形成阵列(V),计算C(x,y)作为V的标量乘积和由h(x)形成的恒定水平向量(H)。 收集条纹以形成被存储和/或显示的变换图像。 高速缓存有助于选择性重用用于确定C(x,y)的垂直卷积。

    LOAD BALANCING FOR IMAGE PROCESSING USING MULTIPLE PROCESSORS
    6.
    发明申请
    LOAD BALANCING FOR IMAGE PROCESSING USING MULTIPLE PROCESSORS 有权
    使用多个处理器进行图像处理的负载平衡

    公开(公告)号:US20090288096A1

    公开(公告)日:2009-11-19

    申请号:US12122827

    申请日:2008-05-19

    IPC分类号: G06F9/50

    CPC分类号: G06F9/5066

    摘要: A method and system for load balancing the work of NP processors (NP≧3) configured to generate each image of multiple images in a display area of a display device. The process for each image includes: dividing the display area logically into NP initial segments ordered along an axis of the display area; assigning each processor to a corresponding initial segment; assigning a thickness to each initial segment; simultaneously computing an average work function per pixel for each initial segment; generating a cumulative work function from the average work function per pixel for each initial segment; partitioning a work function domain of the cumulative work function into NP sub-domains; determining NP final segments of the display area by using the cumulative work function to inversely map boundaries of the sub-domains onto the axis; assigning each processor to a final segment, and displaying and/or storing the NP final segments.

    摘要翻译: 一种用于负载平衡NP处理器(NP> = 3)的工作的方法和系统,其被配置为在显示设备的显示区域中生成多个图像的每个图像。 每个图像的处理包括:将显示区域逻辑地划分成沿显示区域的轴排列的NP初始段; 将每个处理器分配给相应的初始段; 为每个初始段分配一个厚度; 同时计算每个初始段的每像素的平均功函数; 从每个初始段的每像素的平均功函数产生累积函数函数; 将累积功能函数的功能域划分为NP子域; 通过使用累积功函数将子域的边界反向映射到轴上来确定显示区域的NP最终段; 将每个处理器分配给最终段,以及显示和/或存储NP最终段。