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    • 3. 发明授权
    • Recursive 3D super precision method for smoothly changing area
    • 递归3D超精密方法,平滑变化面积
    • US08090210B2
    • 2012-01-03
    • US11394954
    • 2006-03-30
    • Zhi ZhouYeong-Taeg KimNing Xu
    • Zhi ZhouYeong-Taeg KimNing Xu
    • G06K9/40
    • H04N19/80H04N19/85
    • An image processing system implements recursive 3D super precision for processing smoothly changing video image areas by performing temporal noise reduction and then 2D super precision. The temporal noise reduction is applied to two frames, one being the current input low precision frame, and the other being the previous higher precision frame from memory. The 2D super precision is applied to the noise reduced frame to output a high precision frame which is also saved into memory for processing the next incoming frame. The input frame has a limited bit depth while the output image has an increased bit depth.
    • 图像处理系统通过执行时间噪声降低然后2D超精度实现递归3D超精度,用于处理平滑变化的视频图像区域。 时间噪声降低被应用于两个帧,一个是当前输入低精度帧,另一个是来自存储器的先前较高精度帧。 2D超精度被应用于降噪帧以输出高精度帧,其也被保存到存储器中用于处理下一帧。 输入帧具有有限的位深度,而输出图像具有增加的位深度。
    • 8. 发明申请
    • SYSTEM AND METHOD FOR BLOCK EDGE LOCATION WITH VARYING BLOCK SIZES AND OFFSETS IN COMPRESSED DIGITAL VIDEO
    • 用于压缩数字视频中具有变化块大小和偏移的块边缘位置的系统和方法
    • US20100226573A1
    • 2010-09-09
    • US12396877
    • 2009-03-03
    • Surapong LertrattanapanichYeong-Taeg Kim
    • Surapong LertrattanapanichYeong-Taeg Kim
    • G06K9/00
    • G06T7/13G06T2207/10016
    • Embodiments include systems and methods of determining block edge location in video. In one embodiment, a system includes a block edge map generator configured to generate a binary block map, the block map having indicators representing the locations of block edges in a first direction, a histogram generator configured to accumulate the indicators to form a block edge histogram, the peaks of the histogram corresponding to block edge locations in the image, a low-pass filter to low-pass filter the block edge histogram and form a filtered histogram, a peak locator configured to identify the peaks of the filtered histogram, and a peak refiner configured to refine locations of peaks located in the filtered block edge histogram based on the identified peaks and peaks in the block edge histogram, the refined peak locations indicative of block edge locations, and further configured to provide block locations.
    • 实施例包括确定视频中的块边缘位置的系统和方法。 在一个实施例中,系统包括块边缘图生成器,其被配置为生成二进制块映射,块映射表具有表示第一方向上的块边沿的位置的指示符;直方图生成器,被配置为累积指示符以形成块边缘直方图 ,对应于图像中的块边缘位置的直方图的峰值,低通滤波器以低通滤波块边缘直方图并形成滤波直方图,峰值定位器被配置为识别滤波的直方图的峰值,以及 峰值精细器被配置为基于所识别的块边缘直方图中的峰值和峰值,精确的峰值位置,指示块边缘位置,以及进一步被配置为提供块位置,来精细位于经滤波的块边缘直方图中的峰的位置。
    • 10. 发明授权
    • Method for estimating quantization factor of compressed digital image
    • 用于估计压缩数字图像的量化因子的方法
    • US07711199B2
    • 2010-05-04
    • US11378713
    • 2006-03-16
    • Sangkeun LeeYeong-Taeg Kim
    • Sangkeun LeeYeong-Taeg Kim
    • G06K9/00G06K9/40H04B1/66H04N7/12H04N11/02H04N11/04
    • H04N19/86
    • An estimation system provides quality measure of a given image for image/video applications to determine if the image needs to be enhanced or not. The system systemically measures the image quality by estimating quantization parameter of the compressed digital image. This allows estimating the image quantization parameter effectively in the pixel domain. Because block artifact are caused by image compression transforms, especially in flat image region, the estimation system first detects the suspicious regions of the image for the block artifacts by calculating a variance for each location in the image. Next, noise power is computed by using the detected regions. Then, the estimated noise power is compared with the statistical model to calculate the quantization parameter that is used in the encoder side when the input image is compressed. Finally, a quantization parameter is used as a quality measure of the input image.
    • 估计系统为图像/视频应用提供给定图像的质量测量,以确定图像是否需要增强。 系统通过估计压缩数字图像的量化参数来系统地测量图像质量。 这允许在像素域中有效地估计图像量化参数。 由于块伪像是由图像压缩变换引起的,特别是在平面图像区域中,估计系统首先通过计算图像中每个位置的方差来检测图像的可疑区域的块伪影。 接下来,通过使用检测到的区域来计算噪声功率。 然后,将估计噪声功率与统计模型进行比较,以计算当输入图像被压缩时在编码器侧使用的量化参数。 最后,使用量化参数作为输入图像的质量测量。