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WMSN圖像節(jié)點(diǎn)低內(nèi)存小波變換方法研究
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農(nóng)業(yè)部公益性行業(yè)科研專項(xiàng)資助項(xiàng)目(201003011)、江蘇省產(chǎn)學(xué)研聯(lián)合創(chuàng)新資金——前瞻性聯(lián)合研究資助項(xiàng)目(BY2012207)和南京農(nóng)業(yè)大學(xué)青年科技基金資助項(xiàng)目(KJ2011021)


Image Wavelet Transform on Low Memory Sensor Nodes of WMSN
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    摘要:

    基于Le Gall 5/3濾波器提出了一種逐行小波變換方法,處理器從圖像節(jié)點(diǎn)SD卡逐行讀出圖像信息,完成多級變換后將變換結(jié)果行寫入SD卡。該方法SRAM內(nèi)存需求低,且僅涉及定點(diǎn)整數(shù)乘法、加法及移位操作。應(yīng)用所提方法對一幅256像素×256像素仔豬灰度圖像進(jìn)行小波變換實(shí)驗(yàn),結(jié)果表明,該方法以合理的定點(diǎn)運(yùn)算代價(jià)換取了3.968KB的SRAM開銷以及8.718s的時(shí)間開銷。為基于小波變換的WMSN節(jié)點(diǎn)圖像壓縮奠定了基礎(chǔ),使農(nóng)業(yè)生產(chǎn)圖像在低帶寬WMSN上高效傳輸成為可能。

    Abstract:

    This paper adopts a line based wavelet transform method with the Le Gall 5/3 filter, in which the image lines are read to SRAM line by line from the SD card and write to the SD card after the multi-level transform operation. The wavelet transform method requires low SRAM memory and involves fixed point integer multiplication, addition, shift operation only. Appling the method to a 256 pixels ×256 pixels gray image of piglets. experimental results show that the SRAM cost of the method is 3.968KB and the time cost is 8.718s with a reasonable cost of the arithmetic operation. This study establishes the foundation for the wavelet transform image compression on the image sensor nodes, and makes it possible to transmit the images of agriculture over the low bandwidth WMSN efficiently.

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陸明洲,劉志強(qiáng),沈明霞,劉龍申,楊曉靜,周 波. WMSN圖像節(jié)點(diǎn)低內(nèi)存小波變換方法研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2014,45(4):289-293. Lu Mingzhou, Liu Zhiqiang, Shen Mingxia, Liu Longshen, Yang Xiaojing, Zhou Bo. Image Wavelet Transform on Low Memory Sensor Nodes of WMSN[J]. Transactions of the Chinese Society for Agricultural Machinery,2014,45(4):289-293.

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  • 收稿日期:2013-05-07
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  • 在線發(fā)布日期: 2014-04-10
  • 出版日期: 2014-04-10