基于策略分解的自适应图像传输

Hui-Huang Hsu, T. Shih, Louis H. Lin, Rong-Chi Chang, Huei-Fa Li
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引用次数: 2

摘要

渐进图像传输(PIT)传输图像中最重要的部分,其次是不太重要的部分。当用户浏览图像时,可以在基于web的应用程序中使用该机制。大多数PIT方法对整个图像使用相同的像素插值方案,而不考虑不同部分的差异。我们测试了几种战略分解机制。我们的贡献导致了一种考虑图像和图像部分差异的自适应图像传输机制。我们测试了1500张不同类别和参数的图片。总体比特率可以显著降低,具有良好的PSNR值。为了保证传输的图片能够完全恢复,还实现了错误恢复程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive image transmission by strategic decomposition
Progressive image transmission (PIT) transmits the most significant portion of a picture, followed by less important parts. The mechanism can be used in Web-based applications, while users are browsing images. Most PIT methods use the same pixel interpolation scheme for the entire picture, without considering the differences in different portions. We test several strategic decomposition mechanisms. Our contribution results in an adaptive image transmission mechanism, which takes the differences of pictures and picture portions into consideration. We tested 1500 pictures in different categories and parameters. The overall bit rates can be reduced significantly, with good PSNR values. An error recovery procedure is also implemented to guarantee the transmitted pictures that can be fully recovered.
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