An improved denoising algorithm of feather and down image based on KSVD

作者：Yan Xiaofei; Yang Bin; Zhang Wei; Liu Caixia; Wang Yanqiu^*

来源：8th International Conference on Information Technology in Medicine and Education, ITME 2016, 2016-12-23 To 2016-12-25.

DOI：10.1109/ITME.2016.0100

• De-noising algorithm
• Feather and down category
• Image denoising algorithm
• KSVD
• Recognition rates
• Signal representations
• Sparse representation
• Species identification

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.

• 出版日期2016