摘要
在多媒体图像数据压缩过程中,为了减小数据体积,通常需要牺牲图像的一些细节和精度,这会导致部分信息的丢失。为了提高压缩效果,以多媒体图像为例,提出一种面向多媒体数据的分块无损压缩算法。通过四叉树算法对多媒体图像展开分块处理,通过结合边缘特征和方向特征的多尺度小波变换算法获取多媒体图像每层子带图像块的自适应采样率,基于纹理块和平坦块的自适应多尺度分块压缩感知方法完成多媒体图像数据的分块无损压缩。实验结果表明,所提算法的压缩效果更好,不仅能够实现数据有效压缩,而且不会损失图像信息,且压缩时间较短,整体应用效果更好。
During the compression of multimedia image data,we usually need to sacrifice some details and accu⁃racy of the image in order to reduce the size of the data,which can lead to the loss of some information.To improve the compression effect,taking multimedia images as an example,this article presented a blocked lossless compression algorithm for multimedia data.Firstly,we used the quadtree algorithm to perform block processing on the multimedia image.Then,we used the multi-scale wavelet transform algorithm combining the edge features with directional features to obtain the adaptive sampling rate of each sub-band image block in multimedia images.According to the a⁃daptive multi-scale block compression sensing method based on texture blocks and flat blocks,we completed the blocked lossless compression of multimedia image data.Experimental results show that the proposed algorithm has a better compression effect.It not only achieves effective data compression without losing image information but also has a shorter compression time.Therefore,this method has a better overall application effect.
作者
段海涛
陈建
DUAN Hai-tao;CHEN Jian(University of Science and Technology Beijing,Beijing 100083,China)
出处
《计算机仿真》
2024年第6期318-321,454,共5页
Computer Simulation
关键词
多媒体数据
多尺度小波变换
自适应采样
自适应分块
分块无损压缩
Multimedia data
Multi-scale wavelet transform
Adaptive sampling
Adaptive blocking
Blocked lossless compression
