<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In order to solve the problem of the easy appearance of blurring images (easy to appear blur) or jagged effect after correction by traditional method, and as the visual error correction effect is not good, we propose a new visual error correction method of continuous calisthenics action image and a new algorithm for visual error correction. The continuous calisthenics action image is encoded and decoded, the error between the original image and the error image is obtained and with that the difference function is processed. Then the error compensation results are obtained and the visual error correction of the continuous calisthenics action image is realised. At the same time, a new algorithm for checking and correcting visual parallax matching errors is proposed in this paper. This algorithm can not only identify all matching errors in the parallax data, but also detect and correct them according to the continuity of shape representation, and effectively calculate the various performances of such matching algorithms automatically and quantitatively. The results show that the image processed by the proposed method has no significant visual error, and the peak signal-to-noise ratio and structural similarity are very high. The experimental results of the new algorithm also prove that the algorithm is very useful for the study of visual matching. It can be seen that the proposed method is effective and can be effectively used.</p>
</abstract>

In order to solve the problem of the easy appearance of blurring images (easy to appear blur) or jagged effect after correction by traditional method, and as the visual error correction effect is not good, we propose a new visual error correction method of continuous calisthenics action image and a new algorithm for visual error correction. The continuous calisthenics action image is encoded and decoded, the error between the original image and the error image is obtained and with that the difference function is processed. Then the error compensation results are obtained and the visual error correction of the continuous calisthenics action image is realised. At the same time, a new algorithm for checking and correcting visual parallax matching errors is proposed in this paper. This algorithm can not only identify all matching errors in the parallax data, but also detect and correct them according to the continuity of shape representation, and effectively calculate the various performances of such matching algorithms automatically and quantitatively. The results show that the image processed by the proposed method has no significant visual error, and the peak signal-to-noise ratio and structural similarity are very high. The experimental results of the new algorithm also prove that the algorithm is very useful for the study of visual matching. It can be seen that the proposed method is effective and can be effectively used.

Visual error correction of continuous aerobics action images based on graph difference function

Zhejiang University of Science and Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In order to solve the problem of the easy appearance of blurring images (easy to appear blur) or jagged effect after correction by traditional method, and as...

The percentage/%	C,F,	C,F,	C,F,	C,F,
Percentage to match the boundary	78.521	74.913	56.952	70.534
Percentage of processing matched boundaries	70.382	70.771	54.163	33.692
Percentage error	8.013	7.520	17.014	20.451
Percentage of correction boundary points	14.894	16.113	41.112	42.953
The minimum percentage error of the line segment	46.881	44.444	58.821	52.174

The percentage/%	C,F,	C,F,	C,F,	C,F,
Percentage to match the boundary	88.834	88.382	59.073	78.891
Percentage of processing matched boundaries	83.851	78.293	68.902	53.074
Percentage error	3.852	3.833	8.041	31.923
Percentage of correction boundary points	14.911	15.134	40.612	45.823
The minimum percentage error of the line segment	30.001	27.273	50.004	61.642

Visual error correction of continuous aerobics action images based on graph difference function

Online veröffentlicht: 30. Dez. 2021

Seitenbereich: 869 - 876

Eingereicht: 16. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.1.00071

Schlüsselwörter
Continuity, Aerobics, Action image, Visual error, Correction, Function algorithm

© 2021 Dali Yin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

Performance comparison of test images ② four graph phase difference functions

Test images ① Comparison of performance of four graph phase difference functions

Visual error correction of continuous aerobics action images based on graph difference function

Online veröffentlicht: 30. Dez. 2021

Seitenbereich: 869 - 876

Eingereicht: 16. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.1.00071

SchlüsselwörterContinuity, Aerobics, Action image, Visual error, Correction, Function algorithm

© 2021 Dali Yin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

Performance comparison of test images ② four graph phase difference functions

Test images ① Comparison of performance of four graph phase difference functions

Schlüsselwörter
Continuity, Aerobics, Action image, Visual error, Correction, Function algorithm