Lossy Image Compression
نویسنده
چکیده
Representing image files as simple arrays of pixels is generally very inefficient in terms of memory. Storage space and network bandwidth is limited so it is necessary to compress image files. There are many methods that achieve very high compression ratios by allowing the data to be corrupted in ways that are not easily perceivable to the human eye. A new concept is described, combining fractal compression with sampling and interpolation. This could allow greater fidelity at higher compression ratios than current methods.
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