COLOR CORRECTION SYSTEM AND METHOD
    3.
    发明申请

    公开(公告)号:US20200228681A1

    公开(公告)日:2020-07-16

    申请号:US16783478

    申请日:2020-02-06

    发明人: Wei CHEN Zisheng CAO

    摘要: A method for color correction includes obtaining a noise evaluation image and a corrected noise evaluation image, determining a peak signal-to-noise ratio (PSNR) difference by comparing the noise evaluation image and the corrected noise evaluation image, obtaining a downsampled noise evaluation image and a downsampled corrected noise evaluation image, determining a downsampled PSNR difference by comparing the downsampled noise evaluation image and the downsampled corrected noise evaluation image, and determining a noise amplification metric based on a weighted average of the PSNR difference and the downsampled PSNR difference.

    SYSTEM AND METHOD FOR IMAGE DYNAMIC RANGE ADJUSTING

    公开(公告)号:US20200099823A1

    公开(公告)日:2020-03-26

    申请号:US16697997

    申请日:2019-11-27

    发明人: Zisheng CAO

    IPC分类号: H04N1/60 G06T5/00

    摘要: A method includes obtaining a dynamic range representation of an image including multiple color channels. The dynamic range representation includes dynamic range information of pixels of the image in the color channels. The method further includes decomposing the dynamic range representation into a smooth portion, a color portion, and a detail portion. The smooth portion includes low frequency information of the pixels in the color channels. The color portion includes color intensity information of the pixels in the color channels. The detail portion includes high frequency information of the pixels in the color channels. The method also includes adjusting the smooth portion, the color portion, and the detail portion, respectively, to obtain an adjusted smooth portion, an adjusted color portion, and an adjusted detail portion, and combining the adjusted smooth portion, the adjusted color portion, and the adjusted detail portion to generate an output image.

    SYSTEM AND METHOD FOR SUPPORTING IMAGE DENOISING BASED ON NEIGHBORHOOD BLOCK DIMENSIONALITY REDUCTION
    8.
    发明申请
    SYSTEM AND METHOD FOR SUPPORTING IMAGE DENOISING BASED ON NEIGHBORHOOD BLOCK DIMENSIONALITY REDUCTION 有权
    基于邻域块尺寸减小的支持图像聚集的系统和方法

    公开(公告)号:US20170061585A1

    公开(公告)日:2017-03-02

    申请号:US15349773

    申请日:2016-11-11

    IPC分类号: G06T5/00 G06T7/40 G06T5/20

    摘要: System and method can support an image processing device. The image processing device operates to obtain a first set of characterization values, which represents a first group of pixels that are associated with a denoising pixel in an image. Also, the image processing device can obtain a second set of characterization values, which represents a second group of pixels that are associated with a denoising reference pixel. Furthermore, the image processing device operates to use the first set of characterization values and the second set of characterization values to determine a similarity between the denoising pixel and the denoising reference pixel. Then, the image processing device can calculate a denoised value for the denoising pixel based on the determined similarity between the denoising pixel and the denoising reference pixel.

    摘要翻译: 系统和方法可以支持图像处理设备。 图像处理装置操作以获得第一组表征值,其表示与图像中的去噪像素相关联的第一组像素。 此外,图像处理设备可以获得第二组表征值,其表示与去噪参考像素相关联的第二组像素。 此外,图像处理装置操作以使用第一组表征值和第二组表征值来确定去噪像素和去噪参考像素之间的相似度。 然后,图像处理装置可以基于所确定的去噪像素和去噪参考像素之间的相似度来计算去噪像素的去噪值。

    UNMANNED AERIAL VEHICLE (UAV) FOR COLLECTING AUDIO DATA

    公开(公告)号:US20210163132A1

    公开(公告)日:2021-06-03

    申请号:US17107154

    申请日:2020-11-30

    IPC分类号: B64C39/02 H04R1/10 H04R3/00

    摘要: An unmanned aerial vehicle (UAV) includes an audio source collecting microphone detecting a target audio signal, background noise-producing components producing background noise different from the target audio signal, background microphones collecting the background noise, and noise emitters each configured to reduce the background noise by emitting an audio signal having a reverse phase of the collected background noise collected by the corresponding background microphone. The background microphones further collect reduced background noise. The UAV further includes a processor receiving signals which comprise the target audio signal and the reduced background noise, and generating a processed signal based on the collected reduced background noise to reduce interference by the background noise to the target audio signal.