CAJ | 학술논문

针对块匹配图像修复算法容易出现结构不连贯与块效应问题，提出一种两阶段图像修复方法。该方法通过增加相邻修复块在重叠区域的关联性约束，利用图像块关联匹配修复算法实现对降采样受损图像的粗修复，以保证图像主体结构的完整性；依据不同分辨率图像中像素点与其8邻域的线性相关性，引入带噪低秩矩阵填充算法对图像细节进行超分辨率精修复，使修复后图像的纹理与色彩变化具有连续性。实验结果表明，文中方法对包含渐变特征的自然图像修复具有更好的视觉效果。
침대괴필배도상수복산법용역출현결구불련관여괴효응문제，제출일충량계단도상수복방법。해방법통과증가상린수복괴재중첩구역적관련성약속，이용도상괴관련필배수복산법실현대강채양수손도상적조수복，이보증도상주체결구적완정성；의거불동분변솔도상중상소점여기8린역적선성상관성，인입대조저질구진전충산법대도상세절진행초분변솔정수복，사수복후도상적문리여색채변화구유련속성。실험결과표명，문중방법대포함점변특정적자연도상수복구유경호적시각효과。
A novel two stage method of image completion is proposed to handle structure discontinuities and block artifacts caused by traditional exemplar-based image completion algorithms. With the relevance of adjacent patches taken into consideration, a patch associated matching restoration algorithm, which is able to fix main structure in image, is performed on the down-sampling image. Meanwhile, according to the linear correlation of pixels and their eight neighbors in different resolution images, a super-resolution method based on noisy low-rank matrix filling is proposed and employed to refine the target image. This operation ensures the continuity of the changes in the detail information of texture and color. Experimental results demonstrate that the proposed method has more outstanding performance on natural images with gradual features.