基于像素过滤配准插值的图像修复算法研究

摘要

研究残损图像的修复问题,提高修复后图像的清晰度.当采集环境较为恶劣时,采集的图像会发生像素丢失,残损、混淆,造成图像模糊、质量下降、清晰度不高.为了解决上述问题,提出利用像素过滤配准插值算法,对发生形变、丢失的像素进行过滤配准计算,运用相邻相似像素插值的方法补偿由于显示区域内像素被大量破坏或丢失导致的像素残缺,完整像素数量不足的缺陷,克服由于像素缺陷造成的图像清晰度下降的弊端.实验结果表明,改进方法能够大幅提高低质量图像的清晰度,取得了不错的效果.%Research the repair of damaged images and improve the clarity of the images after the repairing. When environments are harsh, the pixel lost, damage and confusion may happen in image acquisition, causing image fuzzy, quality decline, and low articulation. In order to solve the above problems, this paper put forward an interpolation algorithm based on pixel filter registration to treat the images, the interpolation method was used in adjacent pixels to compensate the lost. The experimental results show that the improved method can greatly improve the clarity of the low quality image.