Hierarchical Autoregressive for Image Compression
نویسنده
چکیده
In this paper, a hierarchical autoregressive model (HAR) method is proposed for image compression. The suggested techniques, looks at improving the compression ratio along with preserving the image quality by involving a multi-layered modeling concept. In comparison with traditional predictive coding or autoregressive model on a series of tested images it shows that the suggested method is better than the traditional one.
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تاریخ انتشار 2014