连续性健美操动作图像视觉误差校正方法分析
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武昌工学院

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TP391

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Analysis of Visual Error Correction Method for Continuous Aerobics Action Image
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Wuchang Institute of Technology

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    摘要:

    为了解决传统方法校正后图像容易出现模糊或锯齿效应,视觉误差校正效果不好的问题,研究了一种新的连续性健美操动作图像视觉误差校正方法。通过JAI逐行扫描CCD相机转换成视频信号,得到的信号通过图像采集卡采集,转化成PC机可处理的数字信号,通过全息投影获取连续性健美操动作图像。按照视觉误差完成对图像像素集视差函数的配准,通过向量量化技术实现对图像的亚像素级模板匹配,对经处理的连续性健美操动作图像进行分形编码处理,为视觉误差校正提供依据。对连续性健美操动作图像进行编码和解码处理,求出和原始图像间的误差,获取误差图像,对其进行插值处理,获取误差补偿结果,实现连续性健美操动作图像视觉误差校正。结果表明:经所提方法处理后的图像无显著的视觉误差, 峰值信噪比和结构相似性很高。可见所提方法主观和客观评价结果好。

    Abstract:

    In order to solve the problem of blurring or sawtooth effect and poor visual error correction effect in the image corrected by traditional methods, a new visual error correction method for continuous aerobics action image was studied. Through JAI progressive scanning CCD camera converted into video signal, the obtained signal was collected by image acquisition card and converted into digital signal processed by PC. Continuous aerobics action image was obtained by holographic projection. The parallax function of image pixel set is registered according to visual error. The sub-pixel template matching of image is realized by vector quantization technology. The processed continuous aerobics action image is processed by fractal coding, which provides a basis for visual error correction. The motion image of continuous aerobics is coded and decoded, the error between the original image and the original image is obtained, and the error image is interpolated to obtain the error compensation results, so as to realize the visual error correction of the motion image of continuous aerobics. The results show that the image processed by the proposed method has no significant visual error, and the peak signal-to-noise ratio (PSNR) and structural similarity are very high. It can be seen that the subjective and objective evaluation results of the proposed method are good.

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引用本文

段静彧. 连续性健美操动作图像视觉误差校正方法分析[J]. 科学技术与工程, 2019, 19(13): .
段静彧. Analysis of Visual Error Correction Method for Continuous Aerobics Action Image[J]. Science Technology and Engineering,2019,19(13).

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  • 收稿日期:2018-12-04
  • 最后修改日期:2019-02-27
  • 录用日期:2019-02-12
  • 在线发布日期: 2019-05-09
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