Research of Fractal Compression Algorithm Taking Details in Consideration in Agriculture Plant Disease and Insect Pests Image

Abstract : Agriculture plant disease and insect pests is varied and tremendously harmful, so experts are needed to diagnose. But experts can’t have the energy and time to the field for the majority of farmers to guide, they can only get the image through remote. However, agriculture plant disease and insect pests image is rich in detail, while transmission bandwidth and storage is limited, it is necessary to compress image to make sure of image quality. This paper proposes an improved method based on Jacquin theory to reduce coding time. Encoded sub block is classified into detailed block and non-detailed block, so we can reduce the encoding time. Experimental results show that, for the agriculture plant disease and insect pests image which is rich in detail, the number of encoded blocks reduces to 31.45 % and the encoding time reduces to 32.9 % of the original one.
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Communication dans un congrès
9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-479 (Part II), pp.496-504, 2016, Computer and Computing Technologies in Agriculture IX. 〈10.1007/978-3-319-48354-2_50〉
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Soumis le : mardi 10 octobre 2017 - 15:43:43
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Qiao Deng, Chunhong Liu, Liting Fu. Research of Fractal Compression Algorithm Taking Details in Consideration in Agriculture Plant Disease and Insect Pests Image. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-479 (Part II), pp.496-504, 2016, Computer and Computing Technologies in Agriculture IX. 〈10.1007/978-3-319-48354-2_50〉. 〈hal-01614216〉

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