红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2014年
5期
1690-1696
,共7页
孟伟%金龙旭%李国宁%傅瑶
孟偉%金龍旭%李國寧%傅瑤
맹위%금룡욱%리국저%부요
图像复原%点扩展函数%调制传递函数%同态滤波器
圖像複原%點擴展函數%調製傳遞函數%同態濾波器
도상복원%점확전함수%조제전체함수%동태려파기
image restoration%PSF%MTF%homomorphic filter
针对空间推扫型全色TDICCD相机在获取、传输和存储图像的过程中引入模糊和噪声导致图像质量下降的问题,提出了一种基于调制传递函数(MTF)的遥感图像复原方法。文中的复原方法是通过图像的MTF恢复出点扩展函数(PSF),并将其作为退化函数进行图像复原。通过在MTF提取前对局部图像用同态滤波算法进行增强处理,加强MTF提取的抗噪声能力,并使用二次复原的方法避免直接加入增强滤波器导致的MTF误差。使用均值、对比度及边缘强度等指标对遥感图像复原结果进行评价。实验结果表明:复原后图像灰度均值提高45%,平均梯度和边缘强度分别是复原前的3.5和1.75倍,各项评价指标均优于原始图像,并且MTF所包含面积MTFA明显增加,该图像复原算法对提高空间TDICCD相机图像质量有一定的参考意义。
針對空間推掃型全色TDICCD相機在穫取、傳輸和存儲圖像的過程中引入模糊和譟聲導緻圖像質量下降的問題,提齣瞭一種基于調製傳遞函數(MTF)的遙感圖像複原方法。文中的複原方法是通過圖像的MTF恢複齣點擴展函數(PSF),併將其作為退化函數進行圖像複原。通過在MTF提取前對跼部圖像用同態濾波算法進行增彊處理,加彊MTF提取的抗譟聲能力,併使用二次複原的方法避免直接加入增彊濾波器導緻的MTF誤差。使用均值、對比度及邊緣彊度等指標對遙感圖像複原結果進行評價。實驗結果錶明:複原後圖像灰度均值提高45%,平均梯度和邊緣彊度分彆是複原前的3.5和1.75倍,各項評價指標均優于原始圖像,併且MTF所包含麵積MTFA明顯增加,該圖像複原算法對提高空間TDICCD相機圖像質量有一定的參攷意義。
침대공간추소형전색TDICCD상궤재획취、전수화존저도상적과정중인입모호화조성도치도상질량하강적문제,제출료일충기우조제전체함수(MTF)적요감도상복원방법。문중적복원방법시통과도상적MTF회복출점확전함수(PSF),병장기작위퇴화함수진행도상복원。통과재MTF제취전대국부도상용동태려파산법진행증강처리,가강MTF제취적항조성능력,병사용이차복원적방법피면직접가입증강려파기도치적MTF오차。사용균치、대비도급변연강도등지표대요감도상복원결과진행평개。실험결과표명:복원후도상회도균치제고45%,평균제도화변연강도분별시복원전적3.5화1.75배,각항평개지표균우우원시도상,병차MTF소포함면적MTFA명현증가,해도상복원산법대제고공간TDICCD상궤도상질량유일정적삼고의의。
In order to solve the quality problem of remote sensing image degradation which is caused by fuzzy and noise in the process of push-broom full-color TDICCD space camera acquisition, transmission, and storage image, a new remote sensing image restoration method based on modulation transfer function (MTF) was proposed. The method in this paper restored point-spread function PSF by MTF, and took it as degradation model for image restoration. The ability of noise resisting of MTF extraction was raised in this paper via enhancing the local image by homomorphic filter algorithm before MTF extraction. Then by using the two times restoration method, MTF error which is caused by adding enhancement filter directly was avoided. Finally, the effect of remote sensing image restoration was evaluated by mean, contrast and edge strength. In experiments, the recovered image grayscale average increases 45%, average gradient is 3.5 times and the edge strength is 1.75 times greater than the values before restoration. And the area which is contained by MTF curves increases. The experimental results show that all above evaluation indexes are better than the original image. In conclusion, the image restoration algorithm of space TDICCD camera has certain reference significance in improving image quality.