图象具有直观、具体和生动等特点,同时,包含十分丰富的信息而被人们所重视.然而,利用浏览器在Internet网上进行信息搜索时,其图象信息的传输消耗了大量的传输时间.针对该问题,提出了基于多尺度均值的图象分级技术,即按分块取均值生成不同空间分辨率的图象,并采用基于小波理论的图象分层压缩编码技术来分级压缩编码,从而进一步降低了比特数.传输时可按空间分辨率由低到高的次序进行,这样,不仅大大加速了信息访问速度,同时为用户提供了多种选择的灵活性.

Images are lifelike, specific and directly perceived through the sense. They contain a great deal of information to be regarded. However, a lot of time is spent on transporting image-information, when you scan on Internet for information. This paper introduces a novel image scaling technique by multiscale mean values. The images of various spatial resolution are generated by the mean values of blocks in the original image. Combined with wavelet transform for image-layered coding gives high compression ratio and increase flexibility. The speed of information downloaded will be accelerated based on this scheme. It will also be convenience for users.