CAJ | 학술논문

传统的多媒体资源压缩算法采用普通容量控制的方法，要么损失图像的质量，稀疏抽取来达到大的压缩率，要么压缩率小，不能两者兼顾；提出一种多媒体资源容量控制的点像约束预测方法，利用多媒体资源内点像之间的相互关联关系，采用点像预测的方法，构建压缩与解压的模型，兼顾多媒体资源的保真度与压缩率参数，实现高保真和大压缩率。采用图像进行实验测试，结果显示，采用该预测算法，图像的容量控制率可以达到66%，高于传统多媒体资源81%的压缩率，并且图像的保真度很高，具有很好的应用价值。
전통적다매체자원압축산법채용보통용량공제적방법，요요손실도상적질량，희소추취래체도대적압축솔，요요압축솔소，불능량자겸고；제출일충다매체자원용량공제적점상약속예측방법，이용다매체자원내점상지간적상호관련관계，채용점상예측적방법，구건압축여해압적모형，겸고다매체자원적보진도여압축솔삼수，실현고보진화대압축솔。채용도상진행실험측시，결과현시，채용해예측산법，도상적용량공제솔가이체도66%，고우전통다매체자원81%적압축솔，병차도상적보진도흔고，구유흔호적응용개치。
In tradition multimedia resource compression algorithm, the common volume control methods or loss of image quality was used to achieve a large sparse extracting compression ratio, or the compression ratio was small. A realization of multimedia resource capacity control with point pixel constraints forecast method was proposed, the interior relationship of multimedia resources between the points were used, and the point pixel forecast method was used to construct compression and decompression model, the fidelity multimedia resources and compression ratio parameters were taken into account to achieve high fidelity and high compression ratio. A image was used to do experimental test, the result shows that with the compression and decompression algorithms, the image of the capacity control rate can be reduced to 66%, it is much higher than traditional multimedia resources of 81%compression rate, and the image was high fidelity, so it has good application value.