Statistical encoding algorithm for hierarchical image compression
- 作者: Gashnikov M.V.1
-
隶属关系:
- Samara National Research University
- 期: 卷 26, 编号 4 (2017)
- 页面: 274-279
- 栏目: Article
- URL: https://journals.rcsi.science/1060-992X/article/view/195022
- DOI: https://doi.org/10.3103/S1060992X17040063
- ID: 195022
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详细
We analyze statistical encoding algorithms as one of the type of general methods of image compression. An approach we proposed allows us to improve effectiveness of a lossy image compression. We develop a statistical encoding algorithm that remains effective when compressing images with raw errors. It can be used as a part of any methods of image compression performing encoding of decorrelated signals with nonuniform distribution of probabilities. Coding specific data of a hierarchical compression method, we experimentally compared our algorithm with ZIP and ARJ archivers.
作者简介
M. Gashnikov
Samara National Research University
编辑信件的主要联系方式.
Email: mih-fastt@yandex.ru
俄罗斯联邦, Samara, 443086
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