A fractal image encoding method based on statistical loss used in agricultural image compression

Nowadays, many images of cropland are photographed and transferred by wireless sensors in agricultural automation. But one contradiction is that the recognition needs images with high quality and the transmission needs images with small sizes. So, in this paper, by extracted and analyzedthe loss in the fractal encoding,we use fractal image encoding into the compression because of its high compression ratio. To solve the most important problemin fractal image encoding method,which is its high computational complexityand long encoding time, we first use statisticalanalysis to the fractal encoding method. We create its box-plot to find the distributional of loss value. Then, we partition them to several parts and map them to the given model. After that, we present a novel method to save the loss and maintain the quality in image compression. Finally, agricultural experimental results show effectiveness of the novel method.

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