Method for detecting video frame types with adaptive thresholds
    1.
    发明申请
    Method for detecting video frame types with adaptive thresholds 有权
    用自适应阈值检测视频帧类型的方法

    公开(公告)号:US20040119890A1

    公开(公告)日:2004-06-24

    申请号:US10323671

    申请日:2002-12-20

    CPC classification number: H04N7/012

    Abstract: A method for detecting dynamic video pixels by using adaptive counter threshold values according to field difference value of the frame in the video, thereby to determine whether the frame is an interlaced frame or a progressive frame and to eliminate incorrect judgements resulting from field difference and to improve accuracy of frame determination.

    Abstract translation: 一种通过使用根据视频中的帧的场差值的自适应计数器阈值来检测动态视频像素的方法,从而确定该帧是隔行扫描帧还是逐行帧,并且消除由场差引起的不正确判断,并且 提高帧确定的准确性。

    Methods for adjusting sharpness and brightness of digital image
    2.
    发明申请
    Methods for adjusting sharpness and brightness of digital image 有权
    调整数字图像清晰度和亮度的方法

    公开(公告)号:US20040201597A1

    公开(公告)日:2004-10-14

    申请号:US10409131

    申请日:2003-04-09

    Inventor: Wen-Kuo Lin

    CPC classification number: G06T5/002 G06T5/003 G06T5/009 G06T5/20

    Abstract: A method for adjusting sharpness and brightness of a digital image. In this method, an image function is first inputted into a processor. The image function comprises a plurality of control parameters. Next, the control parameter values of the control parameters are set, and then each of the pixels is sequentially leaded into the image function according to the control parameter value so as to perform the corresponding operation for adjusting the sharpness and brightness of the image. Finally, the adjusted image is outputted. Therefore, the two processes in the prior art, one for adjusting the brightness, the other for the sharpness, are merged into one process so that the design of the hardware circuit is simplified and the required memory space is reduced.

    Abstract translation: 一种用于调整数字图像的清晰度和亮度的方法。 在该方法中,首先将图像功能输入到处理器中。 图像功能包括多个控制参数。 接下来,设置控制参数的控制参数值,然后根据控制参数值将每个像素依次引导到图像功能中,以便执行用于调整图像的清晰度和亮度的相应操作。 最后,输出调整后的图像。 因此,现有技术中用于调整亮度的两个过程,另一个用于锐度,被合并成一个过程,从而简化了硬件电路的设计并减少了所需的存储器空间。

    Method for detecting video frame types with median filtering
    3.
    发明申请
    Method for detecting video frame types with median filtering 有权
    用中值滤波检测视频帧类型的方法

    公开(公告)号:US20040207752A1

    公开(公告)日:2004-10-21

    申请号:US10413308

    申请日:2003-04-15

    CPC classification number: H04N7/012 H04N7/0112

    Abstract: The invention relates to a method for detecting video frame types with median filtering, which proceeds a denoising step after caculating the comb factor of each pixel, to avoid incorrect judgment of the frame type resulting from excessive field difference and improve detection accuracy.

    Abstract translation: 本发明涉及一种利用中值滤波检测视频帧类型的方法,在对每个像素的梳状因子进行了计算之后进行去噪步骤,以避免由于过大的场差引起的帧类型的错误判断,并提高了检测精度。

    Method for motion pixel detection
    4.
    发明申请
    Method for motion pixel detection 失效
    运动像素检测方法

    公开(公告)号:US20040189866A1

    公开(公告)日:2004-09-30

    申请号:US10396781

    申请日:2003-03-26

    CPC classification number: H04N5/144 H04N7/012 H04N7/0137

    Abstract: A method for motion pixel detection with a static counter map so as to correctly evaluate whether a missing pixel is in a static region or a non-static region, thereby reconstructing the missing pixel by an inter-field interpolation process or an intra-field interpolation process, respectively.

    Abstract translation: 一种利用静态计数器映射图进行运动像素检测的方法,以便正确评估缺失像素是在静态区域还是非静态区域,从而通过场间插值处理或场内插值来重建缺失像素 过程。

    Method for motion pixel detection with adaptive thresholds
    6.
    发明申请
    Method for motion pixel detection with adaptive thresholds 有权
    具有自适应阈值的运动像素检测方法

    公开(公告)号:US20040208384A1

    公开(公告)日:2004-10-21

    申请号:US10418198

    申请日:2003-04-18

    CPC classification number: H04N7/012 H04N7/0137 H04N7/0142

    Abstract: A method for motion pixel detection with adaptive thresholds, according to the global motion information among the reference video fields, so as to correctly evaluate whether a missing pixel is in a static region or a non-static region, thereby reconstructing the missing pixel by an inter-field interpolation process or an intra-field interpolation process. If the amount of motion among the reference fields is large, there is high motion information among the reference fields, so the threshold is set to be small; if the amount is small, there is less motion information between the reference fields, and so the threshold should be set to be large.

    Abstract translation: 一种根据参考视频场中的全局运动信息的具有自适应阈值的运动像素检测的方法,以便正确地评估缺失像素是在静态区域还是非静态区域中,从而通过以下方式重建缺失像素: 场间插值处理或场内插值处理。 如果参考场之间的运动量大,则在参考场中存在高运动信息,所以阈值被设定得很小; 如果量少,则参考场之间的运动信息较少,因此阈值应该设置得很大。

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