| 图像压缩技术在秦巴山区油菜作物监控系统中的应用研究(英文) |
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| 引用本文： | 姚军财.图像压缩技术在秦巴山区油菜作物监控系统中的应用研究(英文)[J].农业科学与技术,2012(2):453-456. |
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| 作者姓名： | 姚军财 |
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| 作者单位： | 陕西理工学院物理与电信工程学院 |
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| 基金项目： | Supported by Special Fund for Scientific Research of Shannxi Education Department(No:2010JK463);Shaanxi Natural Science Foundation(2011JE012)~~ |
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| 摘 要： | 目的]在秦巴山区油菜作物监控系统中,为了使得图像在保证质量的前提下以较小的空间存储和较小的比特率传输,提出了一种图像压缩技术方案,方法]方案首先将彩色图像分解为三基色亮度图,并分别进行子块划分和DCT变换处理,再对变换域系数进行量化处理和采用Huffman算法进行编码压缩,最后采用逆过程进行解压并匹配出解压后的彩色图像。结果]通过仿真实验结果表明:油菜作物的彩色图像在压缩比为11.9723∶1时,人眼无法分辨出解压缩图像与源图像之间的差异;当压缩比为高压缩比53.5656∶1时,PSNR仍能达到30dB以上,且编码效率能达到0.78以上,冗余度在0.22以下。结论]表明提出的彩色图像的压缩技术方案在保证图像质量的前提下能够实现较高的压缩比,且编码质量和解压缩图像均达到较理想的效果,完全可以满足秦巴山区油菜作物监控系统中的图像存储和传输。
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| 关 键 词： | 图像压缩 油菜作物 离散余弦变换 峰值信噪比 压缩比 |
Application Research of Image Compression Technology in Monitoring System of Rape Crop in Areas of Qinling Mountains |
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| Juncai YAO.Application Research of Image Compression Technology in Monitoring System of Rape Crop in Areas of Qinling Mountains[J].Agricultural Science ＆ Technology,2012(2):453-456. |
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| Authors: | Juncai YAO |
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| Institution: | Juncai YAO The School of Physics and Telecommunication Engineering of Shaanxi University of Technology, Hanzhong 723000, China |
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| Abstract: | Objective] The aim was to present a proposal about a new image compression technology, in order to make the image be able to be stored in a smaller space and be transmitted with smaller bit rate on the premise of guaranteeing image quality in the rape crop monitoring system in Qinling Mountains. Method] In the proposal, the color image was divided into brightness images with three fundamental colors, followed by sub-image division and DCT treatment. Then, coefficients of transform domain were quantized, and encoded and compressed as per Huffman coding. Finally, decompression was conducted through inverse process and decompressed images were matched. Result] The simulation results show that when compression ratio of the color image of rape crops was 11.972 3∶1, human can not distinguish the differences between the decompressed images and the source images with naked eyes; when ratio was as high as 53.565 6∶1, PSNR was still above 30 dD,encoding efficiency achieved over 0.78 and redundancy was less than 0.22. Conclusion] The results indicate that the proposed color image compression technology can achieve higher compression ratio on the premise of good image quality. In addition, image encoding quality and decompressed images achieved better results, which fully met requirement of image storage and transmission in monitoring system of rape crop in the Qinling Mountains. |
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| Keywords: | Image compression Rape crop Discrete Cosine Transform Peak Signal Noise Ratio Compression ratio |
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