计算机工程2012，Vol.38Issue(22)：211-215,5.
基于近邻非负线性组合的高分辨率图像重建
High-resolution Image Reconstruction Based on Neighborhood Nonnegative Linear Combination
摘要
Abstract
The Locally Linear Embedding(LLE)-based high-resolution image reconstruction method has some problems about noise sensitivity and discontinuous boundary between image blocks. Aiming at these problems, this paper proposes a manifold learning method for reconstructing high-resolution image through neighborhood nonnegative linear combination. It restricts linear combination coefficients of neighbors to be nonnegative in the reconstruction process of high resolution images based on manifold learning, and uses a new feature extraction method. Experimental results show that the proposed algorithm can reconstruct more detail features, remove discontinuous boundary and .obtain higher Peak Signal Noise Ratio(PSNR).关键词
高分辨率图像重建/流形学习/局部线性嵌入/近邻重建/图像块/非负权值Key words
high-resolution image reconstruction/ manifold learning/ Locally Linear Embedding(LLE)/ neighborhood reconstruction/ image block/ nonnegative weight value分类
信息技术与安全科学引用本文复制引用
曾宪华,段文强..基于近邻非负线性组合的高分辨率图像重建[J].计算机工程,2012,38(22):211-215,5.基金项目
国家自然科学基金资助项目(61075019) （61075019）
重庆市自然科学基金资助项目(CSTC,2010BB2406) （CSTC,2010BB2406）
重庆邮电大学博士启动基金资助项目(A2009-24) （A2009-24）
