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    • 1. 发明授权
    • Method for improving image quality
    • 提高图像质量的方法
    • US09396526B2
    • 2016-07-19
    • US13276823
    • 2011-10-19
    • Yi-Sheng ChiuShih-Chia Huang
    • Yi-Sheng ChiuShih-Chia Huang
    • G06T5/00G06K9/46G06T5/40
    • G06T5/009G06K9/4647G06T5/40
    • A method for improving image quality for display device has steps of inputting an image; computing a probability density function based on the image; generating a first luminance histogram; computing a weighing distribution function based on the first luminance histogram; generating a second luminance histogram through pixel redistribution of the first luminance histogram; computing a cumulative density function based on the second luminance histogram; computing a gamma conversion function based on the cumulative density function based on the second luminance histogram; and adjusting luminance distribution of the input image based on the gamma conversion function.
    • 用于提高显示装置的图像质量的方法具有输入图像的步骤; 基于图像计算概率密度函数; 产生第一亮度直方图; 基于第一亮度直方图计算称重分布函数; 通过所述第一亮度直方图的像素再分配产生第二亮度直方图; 基于第二亮度直方图计算累积密度函数; 基于所述第二亮度直方图计算基于所述累积密度函数的伽马转换函数; 以及基于伽马变换功能调整输入图像的亮度分布。
    • 2. 发明申请
    • METHOD FOR IMPROVING IMAGE QUALITY
    • 改善图像质量的方法
    • US20130039577A1
    • 2013-02-14
    • US13276823
    • 2011-10-19
    • Yi-Sheng ChiuShih-Chia Huang
    • Yi-Sheng ChiuShih-Chia Huang
    • G06K9/00
    • G06T5/009G06K9/4647G06T5/40
    • A method for improving image quality for display device has steps of inputting an image; computing a probability density function based on the image; generating a first luminance histogram; computing a weighing distribution function based on the first luminance histogram; generating a second luminance histogram through pixel redistribution of the first luminance histogram; computing a cumulative density function based on the second luminance histogram; computing a gamma conversion function based on the cumulative density function based on the second luminance histogram; and adjusting luminance distribution of the input image based on the gamma conversion function.
    • 用于提高显示装置的图像质量的方法具有输入图像的步骤; 基于图像计算概率密度函数; 产生第一亮度直方图; 基于第一亮度直方图计算称重分布函数; 通过所述第一亮度直方图的像素再分配产生第二亮度直方图; 基于第二亮度直方图计算累积密度函数; 基于所述第二亮度直方图计算基于所述累积密度函数的伽马转换函数; 以及基于伽马变换功能调整输入图像的亮度分布。
    • 5. 发明申请
    • DESIGN OF LOW POWER VIDEO COMPRESSION CHIPSET FOR PROTABLE APPLICATION
    • 低功率视频压缩芯片的设计可供应用
    • US20100266043A1
    • 2010-10-21
    • US12469682
    • 2009-05-21
    • Shih-Chia HuangSy-Yen Kuo
    • Shih-Chia HuangSy-Yen Kuo
    • H04N7/32
    • H04N19/533H04N19/433H04N19/56
    • A data reading method for motion estimation in a video processing chipset is provided. The video processing chipset is coupled to an external memory device, wherein a first frame is stored in the external memory device. In the data reading method, a second frame is first divided into M×N sub frame sets, wherein each of the sub frame sets includes O×P sub frames. Then, each of the sub frame sets is selected in a calculation sequence, wherein the selected sub frame set is stored into an internal memory. Next, a predicted search path of each sub frame in the selected sub frame set is calculated. Thereafter, a predicted reading range is determined, wherein the predicted reading range includes the predicted search paths of the sub frames. Finally, a comparison data is read from the first frame according to the predicted reading range.
    • 提供了一种用于视频处理芯片组中的运动估计的数据读取方法。 视频处理芯片组耦合到外部存储器件,其中第一帧存储在外部存储器件中。 在数据读取方法中,第二帧首先划分为M×N个子帧集合,其中每个子帧集合包括O×P个子帧。 然后,在计算序列中选择每个子帧集合,其中所选择的子帧集合被存储到内部存储器中。 接下来,计算所选子帧集中的每个子帧的预测搜索路径。 此后,确定预测读取范围,其中预测读取范围包括子帧的预测搜索路径。 最后,根据预测的读取范围从第一帧读取比较数据。
    • 6. 发明申请
    • Efficient Adaptive Mode Selection Technique For H.264/AVC-Coded Video Delivery In Burst-Packet-Loss Networks
    • 用于突发丢包网络中H.264 / AVC编码视频传输的高效自适应模式选择技术
    • US20100150253A1
    • 2010-06-17
    • US12369753
    • 2009-02-12
    • Sy-Yen KuoShih-Chia Huang
    • Sy-Yen KuoShih-Chia Huang
    • H04N7/26
    • H04N19/61H04N19/895
    • A method of an efficient adaptive mode selection for H.264/AVC-coded video delivery in burst-packet-loss networks to generate the image data of the missing macroblocks in the decoded current frame by using the information related to the spatial redundancy in the same frame and the temporal redundancy in the inter frames is disclosed. The method first employs the Intra High-Speed Spatial Error Concealment (SEC) method for the initial frame. For the succeeding inter frames, the Temporal Error Concealment (TEC) method is used when the Adjacent External Boundary Matching Error (AEBME) of the surrounding macroblocks is not more than the dynamic threshold (DTα). The Intra High-Speed SEC is used when AEBME is more than (DTα) and the surrounding macroblocks are all coded intra-method, otherwise the task proceeds by employing Normal SEC.
    • 一种在突发分组丢失网络中用于H.264 / AVC编码视频传输的有效自适应模式选择的方法,用于通过使用与解码的当前帧中的空间冗余有关的信息来生成解码的当前帧中的丢失宏块的图像数据 公开了相同的帧和帧间的时间冗余。 该方法首先采用高速空间误差隐藏(SEC)方法进行初始帧。 对于后续帧间,当周围宏块的相邻外部边界匹配误差(AEBME)不大于动态阈值(DTα)时,使用时间误差隐藏(TEC)方法。 当AEBME大于(DTα)时,使用内部高速SEC,周边宏块全部进行编码,否则任务通过采用普通SEC进行。