CAJ | 학술논문

针对红外成像设备对天远距离观测中得到的小目标、强固定模式噪声这一类典型数据，提出基于显著性的红外图像强固定模式噪声抑制算法。对此类图像数据进行特性分析，指出图像中目标区域相对于背景固定模式噪声区域是显著的，利用显著性检测算法分离出图像中目标区域及背景，对不同区域分别采取不同处理，仅基于单幅图像信息实现强固定模式噪声的有效抑制。通过大量小目标、强固定模式噪声红外图像对算法性能进行测试。结果表明，本算法能够准确提取出图像中目标区域，实现图像中强固定模式噪声的有效抑制。
침대홍외성상설비대천원거리관측중득도적소목표、강고정모식조성저일류전형수거，제출기우현저성적홍외도상강고정모식조성억제산법。대차류도상수거진행특성분석，지출도상중목표구역상대우배경고정모식조성구역시현저적，이용현저성검측산법분리출도상중목표구역급배경，대불동구역분별채취불동처리，부기우단폭도상신식실현강고정모식조성적유효억제。통과대량소목표、강고정모식조성홍외도상대산법성능진행측시。결과표명，본산법능구준학제취출도상중목표구역，실현도상중강고정모식조성적유효억제。
A saliency based heavy fixed pattern noise suppression algorithm for IR image which is captured by infrared focal-plane-array sensors in remote observation is proposed.The properties of the typical IR images characterized with small targets and heavy fixed pattern noise were analyzed,and it was found that the target regions are more salient than the background for observer in IR image.Using the saliency detection algorithm to detect target regions,the proposed algorithm processes different regions separately and suppresses the heavy fixed pattern noise effectively.Experiments indicate that our algorithm can detect the target regions accurately and suppress the heavy fixed pattern noise effectively.