Method and device for converting video image format

Abstract

The invention relates to a method and a device for converting a video image format. The method comprises the following steps of: generating a data processing unit in each central processing unit according to the number of central processing units; acquiring real-time YUV data from the outside by using a data acquisition unit and storing the YUV real-time data in a main storage unit; averagely splitting the YUV real-time data in the main storage unit into a corresponding number of equally-divided parts according to the number of generated data processing units; averagely distributing the plurality equally-divided parts of split data to each data processing unit and monitoring the running state of the data processing unit; converting split data in parallel into RGB data by using each data processing unit; and storing the converted RGB data in the main storage unit. Due to the adoption of the method and the device, the processing capability of the central processing unit can be utilized to the maximum extent and video image format converting efficiency is further improved.

Description

Technical field: [0001] The invention relates to the field of video image processing, in particular to a video image format conversion method and device. Background technique: [0002] There are many ways to express color space, such as RGB, CMYK, HLS, YUV, etc. In the field of digital broadcasting and television, the conversion between YUV and RGB formats is often used. YUV includes a variety of specific color expression methods and models, such as YUV422, YUV420, YUV444, etc., and the RGB format also includes a variety of specific color expression methods and models, such as RGB565, RGB24, RGB32, etc. At present, with the development of radio and television digitization and high-definition technology applications, the real-time high-definition YUV data files collected by video image acquisition equipment such as cameras are very large. Data conversion processing speed requirements are getting higher and higher. However, conventional video image formats use a conversion m...

AI Technical Summary

Problems solved by technology

Although the conversion speed can be improved to a certain extent, there are also technical deficiencies and defects. For example, the complete table lookup method requires a large enough storage device, and some table lookup methods have cumbersome steps and slow processing speed.

[0004] With the development of digitization and high-definition in the field of broadcasting and television, we need to solve the format conversion problem of multi-channel high-definition real-time video, that is, the rapid processing of the huge amount of data of multi-channel high-definition real-time video. The above methods can no longer meet the actual needs

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