SYSTEM AND METHOD FOR REMOVING IMAGE NOISE
    1.
    发明申请
    SYSTEM AND METHOD FOR REMOVING IMAGE NOISE 有权
    用于去除图像噪声的系统和方法

    公开(公告)号:US20140241636A1

    公开(公告)日:2014-08-28

    申请号:US14269979

    申请日:2014-05-05

    Abstract: A system and method for removing noise from images are disclosed herein. An exemplary system includes an edge-detection-based adaptive filter that identifies edge pixels and non-edge pixels in an image and selects a filtering technique for at least one non-edge pixel based on a comparison of the at least one non-edge pixel to a neighboring pixel region, wherein such comparison indicates whether the at least one non-edge pixel is a result of low-light noise.

    Abstract translation: 本文公开了一种用于从图像中去除噪声的系统和方法。 一个示例性系统包括基于边缘检测的自适应滤波器,其识别图像中的边缘像素和非边缘像素,并且基于至少一个非边缘像素的比较为至少一个非边缘像素选择滤波技术 到相邻像素区域,其中这种比较指示至少一个非边缘像素是否是低光噪声的结果。

    System and method for removing image noise
    2.
    发明授权
    System and method for removing image noise 有权
    去除图像噪声的系统和方法

    公开(公告)号:US09563938B2

    公开(公告)日:2017-02-07

    申请号:US14269979

    申请日:2014-05-05

    Abstract: A system and method for removing noise from images are disclosed herein. An exemplary system includes an edge-detection-based adaptive filter that identifies edge pixels and non-edge pixels in an image and selects a filtering technique for at least one non-edge pixel based on a comparison of the at least one non-edge pixel to a neighboring pixel region, wherein such comparison indicates whether the at least one non-edge pixel is a result of low-light noise.

    Abstract translation: 本文公开了一种用于从图像中去除噪声的系统和方法。 一个示例性系统包括基于边缘检测的自适应滤波器,其识别图像中的边缘像素和非边缘像素,并且基于至少一个非边缘像素的比较为至少一个非边缘像素选择滤波技术 到相邻像素区域,其中这种比较指示至少一个非边缘像素是否是低光噪声的结果。

    PIPELINING AND PARALLELISM FOR IMPLEMENTING A MIXTURE MODEL
    3.
    发明申请
    PIPELINING AND PARALLELISM FOR IMPLEMENTING A MIXTURE MODEL 审中-公开
    用于实施混合模型的管道和平行列表

    公开(公告)号:US20160104072A1

    公开(公告)日:2016-04-14

    申请号:US14575198

    申请日:2014-12-18

    Inventor: Raka Singh

    CPC classification number: G06N7/005

    Abstract: One factor in limiting the speed of conventional implementations of mixture models is that the algorithm involves many decisions where different operations are fetched and performed depending on the outcome of the decisions. These decisions cause flushing of the pipeline, and thus prevent the realization of a highly parallel pipeline in a processor. Without parallelism, the throughput of the pipeline in the processor, i.e., the ability to process many samples of the digital input at a time, is limited. To alleviate this issue, implementation of the mixture model is reformulated, among other things, by embedding decisions into the process flow as multiplicative factors. The resulting implementation alleviates the need to use if-else statements for the decisions and reduces the number of times the pipeline has to be flushed. The implementation enables a pipeline with a higher degree of parallelism and thereby increases throughput and speed of the implementation.

    Abstract translation: 限制混合模型的常规实现速度的一个因素是,该算法涉及许多决定,其中取决于决策的结果而获取和执行不同的操作。 这些决定导致流水线的冲洗,从而防止在处理器中实现高度并行的管线。 没有并行性,处理器中的流水线的吞吐量,即一次处理数字输入的许多样本的能力受到限制。 为了缓解这个问题,混合模型的实现被重新设计,其中包括将决策嵌入过程流作为乘数因子。 所产生的实现减轻了使用if-else语句进行决策的需要,并减少了管道必须被刷新的次数。 该实现实现了具有更高并行度的管道,从而增加了实现的吞吐量和速度。

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