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
3期
634-637
,共4页
黄新民%姚军财%何军锋%申静%黄晓洲
黃新民%姚軍財%何軍鋒%申靜%黃曉洲
황신민%요군재%하군봉%신정%황효주
数字图像%压缩%傅立叶变换%峰值信噪比
數字圖像%壓縮%傅立葉變換%峰值信譟比
수자도상%압축%부립협변환%봉치신조비
Digital image%Compression%Fourier Transform%Peak Signal-to-Noise Ratio
[目的]研究水稻监控系统中的数字图像压缩技术。[方法]提出了一种基于离散傅立叶变换的数字图像压缩技术方案,并通过仿真试验对图像进行了不同压缩比的压缩。[结果]对于压缩比在30以内的数字图像的压缩,衡量编码压缩质量的5个参数(压缩比、图像的熵、平均码字长度、编码效率、冗余度)和评价压缩图像逼真度的参数(PSNR)均达到较好效果,人眼几乎不能分辨出解压缩图像和原始图像之间的差异;在压缩比超过30的数字图像的压缩上,解压缩图像存在一定的失真。当压缩比为91.5163时,虽然图像有一定的失真,但PSNR仍能达到21.5282,从直观上人眼在一定的误差范围内仍能接受解压缩图像。[结论]该研究结果表明提出的图像压缩方案是一种可行的、有效的、较好的图像压缩技术,完全可以满足农作物监控系统中图像存储、交换与传输的要求。
[目的]研究水稻鑑控繫統中的數字圖像壓縮技術。[方法]提齣瞭一種基于離散傅立葉變換的數字圖像壓縮技術方案,併通過倣真試驗對圖像進行瞭不同壓縮比的壓縮。[結果]對于壓縮比在30以內的數字圖像的壓縮,衡量編碼壓縮質量的5箇參數(壓縮比、圖像的熵、平均碼字長度、編碼效率、冗餘度)和評價壓縮圖像逼真度的參數(PSNR)均達到較好效果,人眼幾乎不能分辨齣解壓縮圖像和原始圖像之間的差異;在壓縮比超過30的數字圖像的壓縮上,解壓縮圖像存在一定的失真。噹壓縮比為91.5163時,雖然圖像有一定的失真,但PSNR仍能達到21.5282,從直觀上人眼在一定的誤差範圍內仍能接受解壓縮圖像。[結論]該研究結果錶明提齣的圖像壓縮方案是一種可行的、有效的、較好的圖像壓縮技術,完全可以滿足農作物鑑控繫統中圖像存儲、交換與傳輸的要求。
[목적]연구수도감공계통중적수자도상압축기술。[방법]제출료일충기우리산부립협변환적수자도상압축기술방안,병통과방진시험대도상진행료불동압축비적압축。[결과]대우압축비재30이내적수자도상적압축,형량편마압축질량적5개삼수(압축비、도상적적、평균마자장도、편마효솔、용여도)화평개압축도상핍진도적삼수(PSNR)균체도교호효과,인안궤호불능분변출해압축도상화원시도상지간적차이;재압축비초과30적수자도상적압축상,해압축도상존재일정적실진。당압축비위91.5163시,수연도상유일정적실진,단PSNR잉능체도21.5282,종직관상인안재일정적오차범위내잉능접수해압축도상。[결론]해연구결과표명제출적도상압축방안시일충가행적、유효적、교호적도상압축기술,완전가이만족농작물감공계통중도상존저、교환여전수적요구。
[Objective] To study the digital image compression technology in rice monitoring system. [Method] A digital image compression technology program based on the discrete Fourier transform was proposed, and simulation experiments were carried out to compress the image at different compression ratios. [Result] When com- pression ratios were less than 30, the compression ratio, image entropy, average codeword length, coding efficiency and redundancy which reflected the quality of the coding, and the parameter PSNR which estimated the fidelity of the compressed im- age were all achieved good results that human eye could barely percept the differ- ence between the original image and decompressed image; and when the compres- sion ratios were more than 30, there was a certain distortion in the decompressed image. And when the compression ratio was 91.516 3, although the image had some distortion, the PSNR was still achieved to 21.528 2, and human eye could accept the decompressed image intuitively within the acceptable error range. [Conclusion] The results show that the proposed image compression program is a viable, effective, and better image compression technology which can satisfy the requirements of the crop monitoring system on image storage, transforming and transporting.