Video enhancing method based on video frame self-adaption and video enhancing system applying the video enhancing method based on video frame self-adaption

Abstract

The invention discloses a video enhancing method based on video frame self-adaption. The method comprises video frame self-adaption parameter adjustment and video frame enhancing processing. The invention also discloses a video enhancing system. The system comprises a parameter adjusting module and an enhancing processing module. According to the video frame self-adaptive video enhancing method based on an airspace point algorithm and the video enhancing system built based on the method, through starting from a performance and a video continuous frame enhancement flexibility, the performance is ensured; moreover, adjusting parameters are selected according to the video contents self-adaptively; the problem of video frame distortion resulting from excessively improving too dark images or excessively reducing too bright images by directly using conventional methods such as histogram equal saturability enhancing is solved; the enhancing of the processed video under various environments such as indoor, outdoor, low illumination and high illumination environments, is more flexible; and compared with the original video, the processed video is more clear in detail and more abundant in contrast and saturability and has better eye watching feelings.

Description

technical field [0001] The invention relates to a video frame self-adaptive video enhancement method and a video enhancement system. Background technique [0002] With the rapid development of the Internet in recent years, video has developed more rapidly than pictures, people's daily sharing habits have gradually shifted from picture sharing to video sharing, and more and more people will watch videos on handheld devices; on the other hand With the popularization of high-definition, the development of 4K, and the improvement of the resolution of display devices, people have higher and higher requirements for video brightness, clarity and other display effects. Therefore, video enhancement has become an indispensable means for video playback. . [0003] According to the different space where signal enhancement is located, video enhancement can be divided into frequency domain algorithm and spatial domain algorithm. Frequency domain algorithms such as FFT, DCT, etc. treat i...

AI Technical Summary

Problems solved by technology

However, these algorithms have a characteristic, that is, they need a fixed parameter to process, resulting in a consistent processing method for each frame of the video, which lacks flexibility.

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