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Research on application of multimedia image processing technology based on wavelet transform

机译:基于小波变换的多媒体图像处理技术在多媒体图像处理技术的应用研究

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Abstract With the development of information technology, multimedia has become a common information storage technology. The original information query technology has been difficult to adapt to the development of this new technology, so in order to be able to retrieve useful information in a large amount of multimedia information which has become a hot topic in the development of search technology, this paper takes the image in the multimedia information storage technology as the research object, uses the wavelet transform to divide the picture into the advantages of the low-frequency and high-frequency characteristics, and establishes the multimedia processing technology model based on the wavelet transform. The simulation results of face, vehicle, building, and landscape images show that different wavelet basis functions and different layers of images are decomposed, and the retrieval results and retrieval speed of images are different, When taking four layers of wavelet decomposition, the cubic b-spline wavelet as the wavelet basis function makes the classification result optimal, and the accuracy rate is 89.08%.
机译:摘要随着信息技术的发展,多媒体已成为普通信息存储技术。最初的信息查询技术一直很难适应这种新技术的发展,因此为了能够在大量的多媒体信息中检索有用的信息,这已经成为搜索技术的发展中的热门话题,这篇论文以多媒体信息存储技术拍摄图像作为研究对象,使用小波变换将图像划分为低频和高频特性的优点,并基于小波变换建立多媒体处理技术模型。面部,车辆,建筑和景观图像的仿真结果表明,不同的小波基功能和不同层的图像分解,并且在服用四层小波分解时,图像的检索结果和图像的检索速度不同,立方体b -Spline小波由于小波基函数使分类结果最佳,精度率为89.08%。

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