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    • 1. 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。