陆明洲,沈明霞,刘志强,刘龙申,杨晓静,王 宇.WMSN节点的低内存开销图像压缩方法[J].农业机械学报,2014,45(11):292-297.
Lu Mingzhou,Shen Mingxia,Liu Zhiqiang,Liu Longshen,Yang Xiaojing,Wang Yu.Image Compression Method with Low Memory Cost on Sensor Nodes of WMSN[J].Transactions of the Chinese Society for Agricultural Machinery,2014,45(11):292-297.
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WMSN节点的低内存开销图像压缩方法   [下载全文]
Image Compression Method with Low Memory Cost on Sensor Nodes of WMSN   [Download Pdf][in English]
投稿时间:2013-12-27  
DOI:10.6041/j.issn.1000-1298.2014.11.045
中文关键词:  多媒体传感器网络 图像压缩 低内存系数编码 比特平面 二值算术编码
基金项目:农业部公益性行业科研专项资助项目(201003011)、江苏省产学研联合创新资金资助项目(BY2012207)和南京农业大学青年科技基金资助项目(KJ2011021)
作者单位
陆明洲 南京农业大学 
沈明霞 南京农业大学 
刘志强 南京农业大学 
刘龙申 南京农业大学 
杨晓静 南京农业大学 
王 宇 东南大学 
中文摘要:基于比特平面及二值自适应算术编码提出了一种逐行小波系数编码方法,该方法能与低内存开销的逐行小波变换无缝、高效对接。处理器从图像节点FIFO通道中逐行读出图像信息,完成多级小波变换后,根据各层小波系数概率分布确定量化值,利用4个二值概率模型对系数各比特平面执行二值自适应算术编码,实现了基于小波变换的低内存开销图像压缩。利用该压缩方法处理一幅320像素×240像素仔猪灰度图像,结果表明,量化位数取3位时,存储开销、时间开销及峰值信噪比为5749KB、16312s及3972dB,内存开销低且重构图像质量较高。
Lu Mingzhou  Shen Mingxia  Liu Zhiqiang  Liu Longshen  Yang Xiaojing  Wang Yu
Nanjing Agricultural University;Nanjing Agricultural University;Nanjing Agricultural University;Nanjing Agricultural University;Nanjing Agricultural University;South East University
Key Words:Multimedia sensor network Image compression Low memeory coefficient coding Bit plane Binary arithmetic encoding
Abstract:Based on bit plane and adaptive binary arithmetic coding, a wavelet coefficients coding scheme which could match the line-based wavelet transform efficiently was proposed. The MCU of the image sensor node read image data from FIFO line by line, executed multi-level wavelet transform, determined the quantization value according to the probability distribution of the wavelet coefficients in different level, performed adaptive binary arithmetic coding based on four binary probabilistic model and realized image compression based on wavelet transform with a low cost of SRAM. The image compression method was applied to handle a 320 pixels×240 pixels gray image of piglets. Experimental results show that the SRAM cost, time cost and the PSNR was 5749KB, 16312s and 39.72dB respectively when the quantization value was set to three. This study established the foundation for agricultural image transmission over the low bandwidth WMSN efficiently.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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