农业科学与技术：英文版
農業科學與技術：英文版
농업과학여기술：영문판
Agricultural Science ＆ Technology
2012年
2期
453-456
,共4页
图像压缩%油菜作物%离散余弦变换%峰值信噪比%压缩比
圖像壓縮%油菜作物%離散餘絃變換%峰值信譟比%壓縮比
도상압축%유채작물%리산여현변환%봉치신조비%압축비
Image compression%Rape crop%Discrete Cosine Transform%Peak Signal Noise Ratio%Compression ratio
[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。
[目的]在秦巴山區油菜作物鑑控繫統中,為瞭使得圖像在保證質量的前提下以較小的空間存儲和較小的比特率傳輸,提齣瞭一種圖像壓縮技術方案,[方法]方案首先將綵色圖像分解為三基色亮度圖,併分彆進行子塊劃分和DCT變換處理,再對變換域繫數進行量化處理和採用Huffman算法進行編碼壓縮,最後採用逆過程進行解壓併匹配齣解壓後的綵色圖像。[結果]通過倣真實驗結果錶明：油菜作物的綵色圖像在壓縮比為11.9723∶1時,人眼無法分辨齣解壓縮圖像與源圖像之間的差異;噹壓縮比為高壓縮比53.5656∶1時,PSNR仍能達到30dB以上,且編碼效率能達到0.78以上,冗餘度在0.22以下。[結論]錶明提齣的綵色圖像的壓縮技術方案在保證圖像質量的前提下能夠實現較高的壓縮比,且編碼質量和解壓縮圖像均達到較理想的效果,完全可以滿足秦巴山區油菜作物鑑控繫統中的圖像存儲和傳輸。
[목적]재진파산구유채작물감공계통중,위료사득도상재보증질량적전제하이교소적공간존저화교소적비특솔전수,제출료일충도상압축기술방안,[방법]방안수선장채색도상분해위삼기색량도도,병분별진행자괴화분화DCT변환처리,재대변환역계수진행양화처리화채용Huffman산법진행편마압축,최후채용역과정진행해압병필배출해압후적채색도상。[결과]통과방진실험결과표명：유채작물적채색도상재압축비위11.9723∶1시,인안무법분변출해압축도상여원도상지간적차이;당압축비위고압축비53.5656∶1시,PSNR잉능체도30dB이상,차편마효솔능체도0.78이상,용여도재0.22이하。[결론]표명제출적채색도상적압축기술방안재보증도상질량적전제하능구실현교고적압축비,차편마질량화해압축도상균체도교이상적효과,완전가이만족진파산구유채작물감공계통중적도상존저화전수。
[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.
