红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2013年
12期
3486-3490
,共5页
李思雯%徐超%刘广荣%金伟其
李思雯%徐超%劉廣榮%金偉其
리사문%서초%류엄영%금위기
大气湍流%去模糊%幸运区域%短曝光
大氣湍流%去模糊%倖運區域%短曝光
대기단류%거모호%행운구역%단폭광
atmospheric disturbance%deblurring%lucky region%short exposure
大气湍流是大气中的一种重要运动形式,它的存在使大气中的动量、热量、水气和污染物的垂直和水平交换作用明显增强,这种干扰作用极大地影响了光电成像系统对于目标的分辨能力。由于湍流影响而退化的图像中同时存在着“幸运区域”,用适当的算法可以获得高分辨力复原图像。为了获取包含“幸运区域”的大气湍流模糊图像,在实验室使用人造湍流,并结合短曝光技术拍摄了大气湍流干扰的序列图像。文中应用矩形交叠分块方法,改进了基于偏微分方程(PDE′s)的序列图像复原算法,对获取的序列短曝光图像进行处理。结果表明,经该算法处理得到的合成图像质量有明显的提升,该算法对大气湍流造成的图像质量退化有较好的复原作用。
大氣湍流是大氣中的一種重要運動形式,它的存在使大氣中的動量、熱量、水氣和汙染物的垂直和水平交換作用明顯增彊,這種榦擾作用極大地影響瞭光電成像繫統對于目標的分辨能力。由于湍流影響而退化的圖像中同時存在著“倖運區域”,用適噹的算法可以穫得高分辨力複原圖像。為瞭穫取包含“倖運區域”的大氣湍流模糊圖像,在實驗室使用人造湍流,併結閤短曝光技術拍攝瞭大氣湍流榦擾的序列圖像。文中應用矩形交疊分塊方法,改進瞭基于偏微分方程(PDE′s)的序列圖像複原算法,對穫取的序列短曝光圖像進行處理。結果錶明,經該算法處理得到的閤成圖像質量有明顯的提升,該算法對大氣湍流造成的圖像質量退化有較好的複原作用。
대기단류시대기중적일충중요운동형식,타적존재사대기중적동량、열량、수기화오염물적수직화수평교환작용명현증강,저충간우작용겁대지영향료광전성상계통대우목표적분변능력。유우단류영향이퇴화적도상중동시존재착“행운구역”,용괄당적산법가이획득고분변력복원도상。위료획취포함“행운구역”적대기단류모호도상,재실험실사용인조단류,병결합단폭광기술박섭료대기단류간우적서렬도상。문중응용구형교첩분괴방법,개진료기우편미분방정(PDE′s)적서렬도상복원산법,대획취적서렬단폭광도상진행처리。결과표명,경해산법처리득도적합성도상질량유명현적제승,해산법대대기단류조성적도상질량퇴화유교호적복원작용。
Atmospheric turbulence is an important form of movement in the atmosphere, which makes the vertical and horizontal′s exchange interaction of momentum, heat, water vapor and pollutants significantly enhanced, and this interference has a great impact on the target resolution of optical imaging system. There also have "lucky regions" in the degraded images because of turbulence, so the appropriate algorithm can obtain high resolution restored image. To obtain the atmospheric turbulence blurred images which contains "lucky regions", the artificial turbulence was used in the laboratory and combined with the short-exposure technique to take a serial of atmospheric turbulence blurred images. The rectangle overlapped partition method was used and the image restoration algorithm was improved based on nonlinear partial-derivative equations (PDE′s), to process the obtained short exposure serial images. The results show that, the image quality of the composite image is improved obviously, this algorithm has great restoration effect on images′ quality degradation caused by atmospheric turbulence.