Statistical encoding algorithm for hierarchical image compression


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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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