Match video image enhancement method based on wavelet analysis and pseudo-color processing

Abstract

The present invention discloses a match video image enhancement method based on wavelet analysis and pseudo-color processing. The method comprises the steps of a, utilizing the orthogonal wavelet transformation of images to carry out the transformation processing on the football match video images; b, carrying out the football match video image enhancement processing based on the orthogonal wavelet transformation; c, carrying out the pseudo-color football match video enhancement processing on the images. The match video image enhancement method based on wavelet analysis and pseudo-color processing of the present invention can overcome the defects in the prior art of complicated operation process, long time, low reliability, etc., and realizes the advantages of simple operation process, short time and high reliability.

Description

technical field [0001] The invention relates to the technical field of video processing, in particular to a game video image enhancement method based on wavelet analysis and pseudo-color processing. Background technique [0002] Commonly used football game video image enhancement methods and their defects [0003] Football game video image enhancement refers to the purposeful enhancement of the overall or local characteristics of the football game video image for a given image application, making the original unclear image clear or emphasizing some interesting features, expanding the football game The difference between different object features in the video image, suppressing uninteresting features, matching the image with the visual response characteristics, improving image quality, enriching the amount of information, enhancing image interpretation and recognition effects, and meeting the needs of some image analysis. [0004] Commonly used football game video image enha...

AI Technical Summary

Problems solved by technology

[0008] The traditional football game video image enhancement algorithm is based on the statistics of the entire image. Therefore, when calculating the transformation of the entire image, the low-frequency information, high-frequency information and noise information in the image are transformed at the same time, thus enhancing the image. At the same time, the noise in the image is enhanced, the signal-to-noise ratio of the image is reduced, and the information entropy of the image is reduced.

It is not conducive to the subsequent analysis and processing of the target of interest, and the expected enhancement purpose is not achieved

[0009] In the process of realizing the present invention, the inventor found that there are at least defects such as complicated operation process, long time-consuming and low reliability in the prior art

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