稀疏逼近
计算机科学
人工智能
模式识别(心理学)
降噪
图像处理
图像(数学)
代表(政治)
噪音(视频)
钥匙(锁)
鉴定(生物学)
信号处理
计算机视觉
数字信号处理
生物
政治
植物
计算机安全
政治学
法学
计算机硬件
作者
Xiaofei Yan,Bin Yang,Wei Zhang,Caixia Liu,Yanqiu Wang
标识
DOI:10.1109/itme.2016.0100
摘要
In recent years, as a new signal representation, more and more sparse representation to the general concern, and signal processing and analysis had a very significant impact. All along, the hot issue is also a feather identification study, noise processing is an important feather duvets species identification problem has always been an important issue. This paper studies the sparse representation in image processing, while down on the species detection key technology research, the dictionary will be an improved KSVD down denoising algorithm, algorithm expressed by feather image sparse quality has improved, thereby improving the recognition rate down image. Practice shows that, based on KSVD down compared to the previous image denoising algorithm down effect is obvious improvement.
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