Zoom method of multimedia video image

Abstract

The invention discloses a scale method to multimedia audio image, which implements transformation operations to the executive color space of an audio image, filling the image into the transformed color space. The information content of image included in the three color component are different, the image information is concentrated in one color component; and the audio image is scaled in the transformed color space. As for the color component which includes most of the audio images, complicated interpolation method are given when scaling, which gives the color component better effects; and relatively simple interpolation method is given to other color components when image scale process are implemented. The scale method of the multimedia audio image can well remain the details of audio images, with excellent scale effects; in particular when used in low bit rate and bad net bad conditions with audio of bad image quality, better audio scale effects can be obtained compared with other methods.

Description

technical field [0001] The invention relates to the technical field of multimedia video image processing, in particular to a zooming method of multimedia video images. Background technique [0002] With the rapid development of multimedia and network technology, video, as an information carrier, has penetrated into all aspects of social life. In various video applications, scaling of video images is an essential function, and is also the most frequently used function. In the field of digital image processing, there have been a large number of mature digital image interpolation algorithms, such as nearest neighbor interpolation, bilinear interpolation, bicubic spline interpolation, cubic convolution interpolation, etc., using these interpolation algorithms can well complete the digital image zoom. [0003] However, a slightly more complicated algorithm cannot be directly transplanted into the scaling of digital video images, because the video playback requires real-time per...

AI Technical Summary

Problems solved by technology

However, the size of the CIF format is far from meeting the needs of applications such as video conferencing or network remote monitoring, so in these applications, the need for video scaling becomes more intense

[0006] Under low bit rate conditions, the scaling of video images faces more difficulties

At low bit rates, due to the large approximation in the process of quantization and encoding, the quality of the video itself is seriously degraded; coupled with the general low bit rate network environment, packet loss and errors are inevitable, resulting in the loss of video details. Badly damaged, poor image quality

Under this premise, if bilinear interpolation is also used for video scaling, the aliasing and blurring effects brought by bilinear interpolation will further damage the details of the image, and the quality of the zoomed video image obtained by this algorithm will be reduced. severe decline

[0007] In addition, traditional video image scaling operations are generally performed in the RGB color space, so the three color components need to be processed separately, and the amount of calculation is relatively large, which further restricts the use of interpolation algorithms

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