基于噪声级自适应字典的超分辨率算法

IEEE International Symposium on Consumer Electronics (ISCE 2010) Pub Date : 2010-06-07 DOI:10.1109/ISCE.2010.5523242

Shin-Cheol Jeong, Y. Kang, B. Song

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引用次数: 2

摘要

提出了一种抗噪声的超分辨算法。在学习阶段，根据噪声级别构建分类字典，然后在推理阶段使用字典合成高分辨率图像。实验结果表明，即使在有噪声的图像中，该算法也优于现有算法。

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Super-resolution algorithm using noise level adaptive dictionary

This paper presents a noise-robust super-resolution algorithm. In learning phase, a dictionary classified according to noise level is constructed, and then a high-resolution image is synthesized using the dictionary in the inference phase. Experimental results show that the proposed algorithm outperforms the existing algorithms even for noisy images.

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来源期刊

IEEE International Symposium on Consumer Electronics (ISCE 2010)

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