CAJ | 학술논문

针对光纤束耦合成像系统的特点,对存在亚像元量级空间错位的图像进行超分辨率重建研究.研究分为图像配准与融合两个步骤.图像配准时,用经典的Keren配准算法对两幅图像进行亚像元级别配准.图像融合时结合双三次插值对配准后两幅图像进行Mallat小波分解与重构,从而实现图像超分辨率重建.实验结果表明,简化后的配准算法配准精度达到了0.01像素,而经过插值与融合重建出来的图像空间分辨率提高了一倍,并且保留了丰富的细节信息.
침대광섬속우합성상계통적특점,대존재아상원량급공간착위적도상진행초분변솔중건연구.연구분위도상배준여융합량개보취.도상배준시,용경전적Keren배준산법대량폭도상진행아상원급별배준.도상융합시결합쌍삼차삽치대배준후량폭도상진행Mallat소파분해여중구,종이실현도상초분변솔중건.실험결과표명,간화후적배준산법배준정도체도료0.01상소,이경과삽치여융합중건출래적도상공간분변솔제고료일배,병차보류료봉부적세절신식.
According to the characteristics of fiber bundle coupling imaging system, a research on super-resolution reconstruction of images which has a sub-pixel dislocation was conducted. This research consists of two steps, image registration and image fusion. Classical Keren algorithm, whose registration accuracy was up to sub-pixel-level , was proposed for image registration to register two images. Then, in the stage of image fusion, bi-cubic interpolation is taken to combine with wavelet fusion where Mallat algorithm was put forward for image decomposition and reconstruction. Super-resolution reconstruction of images is realized by such steps. Simulation results show that the simplified algorithm achieved a high registration accuracy of 0.01 pixel, and image reconstructed by interpolation and wavelet-fusion effectively gains a doubled-spatial-resolution with more details.