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    • 1. 发明申请
    • IMAGE PROCESSING METHOD AND APPARATUS
    • 图像处理方法和装置
    • US20130070965A1
    • 2013-03-21
    • US13562568
    • 2012-07-31
    • Soon-geun JangDong-kyu LeeRae-hong Park
    • Soon-geun JangDong-kyu LeeRae-hong Park
    • G06K9/60
    • G06K9/60G06T5/007G06T5/50G06T2207/10004G06T2207/10144G06T2207/20208G06T2207/20221H04N5/23254H04N5/235H04N5/2355
    • An image processing method and apparatus for obtaining a wide dynamic range image, the method including: obtaining a plurality of low dynamic range images having different exposure levels for a same scene; generating motion map representing whether motion occurred, depending on brightness ranks of the plurality of low dynamic range images; obtaining weights for the plurality of low dynamic range images; generating a weight map by combining the weights and the motion map; and generating a wide dynamic range image by fusing the plurality of low dynamic range images and the weight map. According to the image processing method and apparatus, it is possible to accurately detect motion area using a rank map, obtain a wide dynamic range image at a higher operation speed, and reduce a possibility that a phenomenon such as color warping occurs by directly combining images without using a tone mapping process.
    • 一种用于获得宽动态范围图像的图像处理方法和装置,所述方法包括:获得对于相同场景具有不同曝光水平的多个低动态范围图像; 根据所述多个低动态范围图像的亮度级别生成表示运动是否发生的运动图; 获得所述多个低动态范围图像的权重; 通过组合权重和运动图来生成权重图; 以及通过融合所述多个低动态范围图像和所述权重图来生成宽动态范围图像。 根据图像处理方法和装置,可以使用等级图精确地检测运动区域,以更高的运行速度获得宽的动态范围图像,并且通过直接组合图像来减少发生诸如颜色翘曲的现象的可能性 而不使用色调映射过程。
    • 2. 发明申请
    • METHOD AND APPARATUS FOR ASSESSING IMAGE QUALITY USING QUANTIZATION CODES
    • 使用定量代码评估图像质量的方法和装置
    • US20120308145A1
    • 2012-12-06
    • US13521943
    • 2011-01-11
    • Dong-O KimRae-Hong Park
    • Dong-O KimRae-Hong Park
    • G06K9/68
    • G06T7/0002G06T2207/30168
    • Provided is a method for assessing image quality using quantization codes, which includes: filtering an original image and a distorted image; generating phase quantization codes from the filtering result; calculating a Hamming difference between the phase quantization code of the original image and the phase quantization code of the distorted image; and assessing image quality of the distorted image by using the calculated Hamming difference. According to the present disclosure, since pixel values of the original image and the distorted image are mapped onto a quantized complex plane and then binary code operation is performed, it is possible to easily implement to image quality assessing hardware and also ensure excellent image quality assessing performance.
    • 提供了一种使用量化码来评估图像质量的方法,其包括:对原始图像和失真图像进行滤波; 从滤波结果生成相位量化码; 计算原始图像的相位量化码与失真图像的相位量化码之间的汉明差; 并使用计算的汉明差来评估失真图像的图像质量。 根据本公开,由于原始图像和失真图像的像素值被映射到量化复平面上,然后执行二进制代码操作,因此可以容易地实现图像质量评估硬件并且还确保优异的图像质量评估 性能。
    • 6. 发明申请
    • IMAGE PROCESSING METHOD AND IMAGE PROCESSING APPARATUS
    • 图像处理方法和图像处理装置
    • US20120038797A1
    • 2012-02-16
    • US13034764
    • 2011-02-25
    • Soon-geun JangTae-hong MinRae-hong ParkHwan-soon Sung
    • Soon-geun JangTae-hong MinRae-hong ParkHwan-soon Sung
    • H04N5/217
    • H04N5/2355G06T5/008G06T5/50G06T2207/10144
    • An image processing apparatus and an image processing method, the method including: providing one or more low dynamic range images having different exposure levels; classifying each of the one of more low dynamic range images as a saturation region, an under-saturation region, and a non-saturation region with respect to an intensity value; generating feature maps indicating a similarity between patterns of the non-saturation regions; generating final feature maps converting pixels included in the feature maps into moving pixels and non-moving pixels; defining moving regions and non-moving regions included in the one or more low dynamic range images; removing noise from the moving regions and the non-moving regions by using a first noise reduction filter for the moving regions and a second noise reduction filter for the non-moving regions; and generating a radiance map corresponding to the one or more low dynamic range images.
    • 一种图像处理装置和图像处理方法,所述方法包括:提供具有不同曝光水平的一个或多个低动态范围图像; 将更低的动态范围图像中的每一个分类为饱和区域,欠饱和区域和相对于强度值的非饱和区域; 生成指示非饱和区域的图案之间的相似性的特征图; 生成将特征图中包括的像素转换为移动像素和非移动像素的最终特征图; 定义包括在所述一个或多个低动态范围图像中的移动区域和非移动区域; 通过使用用于移动区域的第一噪声降低滤波器和用于非移动区域的第二降噪滤波器来从移动区域和非移动区域去除噪声; 以及生成对应于所述一个或多个低动态范围图像的辐射图。
    • 8. 发明授权
    • Adaptive directional edge-preserving false contour filtering
    • 自适应方向边缘保留假轮廓过滤
    • US07747100B2
    • 2010-06-29
    • US11330055
    • 2006-01-12
    • Jae-Seung KimWonseok AhnRae-Hong ParkBo Ra LimJi Won Lee
    • Jae-Seung KimWonseok AhnRae-Hong ParkBo Ra LimJi Won Lee
    • G06K9/40G09G5/00
    • G06T5/002G06T5/20G06T5/50G06T7/12G06T2207/20012G06T2207/20192
    • A method for adaptive false contour reduction includes: detecting contour location information by removing a flat region having certain brightness values from a first input image based on a bright value difference between the first input image and a second input image with a bit depth of the first input image reduced; detecting false-contour direction and location information by measuring directional contrast of the flat region-removed first image, and distinguishing the false contour area and an edge area out of the false contour location information based on the measured contrast; and smoothing the false contour area by using the false contour direction and location information, and removing the false contour from the first input image. Thus, a flat region can be automatically removed by using a brightness value difference between a bit depth-reduced image and an original input image and detect a false contour, thereby enhancing a precision degree of false contour detection. Further, signal components can be prevented from being degraded by performing smoothing over only a false contour.
    • 一种用于自适应假轮廓降低的方法包括:通过基于第一输入图像和第二输入图像之间的亮度值从第一输入图像中去除具有特定亮度值的平坦区域来检测轮廓位置信息,其中第一 输入图像减少; 通过测量平坦区域去除的第一图像的方向对比度来检测假轮廓方向和位置信息,并且基于测量的对比来区分假轮廓位置信息中的假轮廓区域和边缘区域; 以及通过使用所述假轮廓方向和位置信息来平滑所述假轮廓区域,以及从所述第一输入图像中去除所述假轮廓。 因此,可以通过使用位深度缩小图像和原始输入图像之间的亮度值差来自动去除平坦区域,并检测假轮廓,从而提高伪轮廓检测的精确度。 此外,通过仅对假轮廓进行平滑化,可以防止信号分量的劣化。
    • 9. 发明授权
    • Spatio-temporal noise removal method using block classification and display device using the same
    • 空间噪声去除方法使用块分类和显示装置使用相同
    • US07548278B2
    • 2009-06-16
    • US11302192
    • 2005-12-14
    • Dong-hyuk ShinRae-hong Park
    • Dong-hyuk ShinRae-hong Park
    • H04N5/21
    • H04N5/21H04N5/145
    • A spatio-temporal noise removal method using block classification that removes noise from a third field by using first, second, and third fields which are continuously inputted. The method includes generating first, second, and third motion-compensated fields; classifying blocks of the third field into a uniform region and a non-uniform region based on a variance value of a generated difference image; performing temporal filtering over every block of the third field; performing spatio-temporal filtering over every block of the first and third motion-compensated fields and the third field and performing the temporal filtering over the every block of the third field based on spatially-filtered value; and outputting a third noise-removed field by applying a weighted value to the temporal-filtered value and the spatio-temporal-filtered value.
    • 一种使用块分类的时空噪声去除方法,其通过使用连续输入的第一,第二和第三场除去来自第三场的噪声。 该方法包括产生第一,第二和第三运动补偿场; 基于生成的差分图像的方差值将第三场的块分类为均匀区域和不均匀区域; 对第三场的每个块执行时间滤波; 对第一和​​第三运动补偿场和第三场的每个块执行时空滤波,并且基于空间滤波值对第三场的每个块执行时间滤波; 以及通过对所述时间滤波值和所述时空滤波值应用加权值来输出第三噪声去除场。