Review on Sparse Coding Research of Natural Image
[1]ZOU Bai-xian,MIAO Jun.Review on Sparse Coding Research of Natural Image[J].Journal of Zhengzhou University (Engineering Science),2013,34(03):106-111.[doi:10.3969/j.issn.1671-6833.2013.03.026]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
34
Number of periods:
2013 03
Page number:
106-111
Column:
Public date:
2013-05-31
- Title:
- Review on Sparse Coding Research of Natural Image
- CLC:
- TP391.4
- DOI:
- 10.3969/j.issn.1671-6833.2013.03.026
- Abstract:
- Tdifferent modeling objectives,characteristics,the sparse coding models for simulation of the visual system are classified into the following sixcategories ,those are maximum likelihood models,the optimization models of the objective functions,the func-tion model of Gabor wavelet basis,super-complete basis models,the models of neural networks,and the levelsparse coding model. In accordance with learning methods for models, the statistical analysis models are divid-ed into independent analysis models,non-negative matrix factorization models,as well as specific characteris-tics of sparse coding models. All the various models are introduced,analyzed and studied,the main featuresof different models are Summarized and compared,and their future prospects are proposed.
- References:
- -
- Similar References:
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Last Update:
1900-01-01