Windowing versus Best Tiling for Wavelet Image Compression
نویسنده
چکیده
We compare two methods for entropy coding uniformly quantized wavelet coefficients: windowing, which uses local statistics to adapt the probability assignment and best tiling, which aims to compress as well as the best tiling of a subband with rectangular tiles of probability models. We find that on some synthetic images, the best tiling method works considerably better than windowing, but on a set of natural images, the improvement provided by the best tiling method over windowing is very small.
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تاریخ انتشار 1999