基于视觉认知的遥感影像数据压缩算法

A Remote Sensing Image Compression Algorithms Based on Visual Cognition

目前遥感影像的数据量越来越大,为了将海量的遥感影像进行传输,必须对其进行数据的压缩,现有的算法一般都是对整幅影像进行均匀压缩,这样不仅压缩比低,而且影像上某些重要的区域信息也被压缩了,不利于用户的观察和处理。基于此分析,提出了一种基于视觉认知的影像压缩算法,首先提取影像上的显著性区域,然后分别对这些区域和背景采用不同压缩比的压缩算法,这样更加满足用户的观察习惯。

With the Increasing amount of remote sensing image data to transmit vast amounts of remote sensing image data, it must be compressed, the existing algorithms are generally unitorm compression of the entire image, whose compression ratio is low, and some important regional information on the image is compressed, is not conducive to the observation and treatment. Based on this analysis, we propose a new image compression algorithm based on the observation of a visual cognition, to extract significant area on the image first, then these regions and background are compressed by different compression ratio of compression algorithms, which can meet the user habits.