Research of Fractal Compression Algorithm Taking Details in Consideration in Agriculture Plant Disease and Insect Pests
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. How
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College of Information and Electrical Engineering, China Agriculture University, Beijing 10083, People’s Republic of China [email protected] Beijing Engineering and Technology Research Center for Internet of Things in Agriculture, Beijing 10083, People’s Republic of China
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. Keywords: Plant disease and insect pests image · Detail · Fractal encoding · Image compression
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Introduction
China is an agricultural country with the frequency of crop disasters. The great harm of crops diseases and insect pests is an important restriction factor of agricultural product quality improvement. On the other hand, the scientific and technological cultural quality of farmers is generally low, and they are urgent to be guided by experts who have knowledge of crop diseases and insect pests. 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 and it contains a lot of information. So it need much transmission bandwidth and storage. At present, because the cable communication cable is unable used to cover the majority of farmland, the wireless wide area network technology can be used to transmit the field images. The wireless communication network is narrow of bandwidth, easy of jitter, low of transmission efficiency, so it is not conducive to transmit a large amount of data. © IFIP International Federation for Information Processing 2016 Published by Springer International Publishing AG 2016. All Rights Reserved D. Li and Z. Li (Eds.): CCTA 2015, Part II, IFIP AICT 479, pp. 496–504, 2016. DOI: 10.1007/978-3-319-48354-2_50
Research of Fractal Compression Algorithm
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Therefore, it is very important to develop an algorithm of high compression ratio, good quality in transmitting agricultural images [1]. There are many classification methods for image compression, the most commonly used one is lossless compression and lossy compression. Lossless compression is a technique of image compression and decompression without any loss of data. Image obtained by decompressing the image is completely equal to the origina
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