CAJ | 학술논문

旨在对一幅低分辨图像进行单幅图像超分辨重构 .采用Foveated 距离度量图像的冗余相似块,利用 Foveated非局部滤波进行Foveated非局部先验"冲突 .利用Foveated非局部滤波进行 Foveated非局部先验及引导核回归的局部先验 ,得出运用Foveated非局部均值和局部核回归的单幅图像超分辨重构方法 .数值实验结果表明 :该方法有效重构出清晰度较优的超分辨率图像 ,其图像边界、峰值信噪比及结构相似性均显著优于其他超分辨重构方法 .
지재대일폭저분변도상진행단폭도상초분변중구 .채용Foveated 거리도량도상적용여상사괴,이용 Foveated비국부려파진행Foveated비국부선험"충돌 .이용Foveated비국부려파진행 Foveated비국부선험급인도핵회귀적국부선험 ,득출운용Foveated비국부균치화국부핵회귀적단폭도상초분변중구방법 .수치실험결과표명 :해방법유효중구출청석도교우적초분변솔도상 ,기도상변계、봉치신조비급결구상사성균현저우우기타초분변중구방법 .
Both Foveated non-local and local regularization priors are learned to realize super-resolution reconstruction from a given low-resolution image .The patch similarities between redundant similar patches in natural images are measured through a Foveated distance .Foveated non-local prior is learned by using a Foveated non-local filter w hile the local prior is achieved by the kernel regression .A single image super-resolution reconstruction method is obtained with the use of Foveated non-local means and local regression .The experimental results show that the proposed method can effectively reconstruct better super-resolution images whose clarities are superior .Their image boundary ,PSNR and SSIM are significantly better than those obtained by other super-resolution reconstruction methods .