Quality Evaluation of Degraded Basketball Video Image Restoration based on Classification Learning

doi:10.23940/ijpe.20.03.p8.392400

Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (3): 392-400.doi: 10.23940/ijpe.20.03.p8.392400

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Quality Evaluation of Degraded Basketball Video Image Restoration based on Classification Learning

Jian Zhou^a and Weina Fu^b,*

^aDepartment of Physical Education, Changchun University of Chinese Medicine, Changchun, 130117, China;
^bCollege of Information and Computer Engineering, Inner Mongolia Agricultural University, Hohhot, 010012, China

Submitted on ; Revised on ; Accepted on
Contact: Weina Fu E-mail:fwn0124@yeah.net

Abstract

Abstract: To restore the degraded basketball video image, improve the adaptive tracking fusion ability of the image and improve the video information tracking ability of the degraded basketball video, we can accurately analyze the video image tracking curve of the degraded basketball video, so as to guide the basketball training. In this paper, a quality evaluation method of degraded basketball video image restoration based on classified learning and degraded basketball video information feature fitting capture is proposed. Firstly, the degraded basketball video image sequence is collected. The wavelet scale feature decomposition method is used to reduce the noise of the image, and then the gray pixel value feature point fitting capture of the degraded basketball video image sequence is carried out to realize the image quantitative analysis of basketball shooting trajectory. Finally, the simulation results show that the proposed method has high fitting degree and high precision of feature point extraction, which is of positive significance guiding basketball training.

Key words: classified learning, quality degradation, basketball video image, restoration quality

Jian Zhou and Weina Fu. Quality Evaluation of Degraded Basketball Video Image Restoration based on Classification Learning [J]. Int J Performability Eng, 2020, 16(3): 392-400.

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Quality Evaluation of Degraded Basketball Video Image Restoration based on Classification Learning

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