ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
Abstract
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.
6. CONCLUSIONS
We analyzed the problem of the loss of efficiency of the algorithms of the statistical encoding in the case of lossy compression. The proposed method allowed us to increase the efficiency of the statistical coder. As an example, we developed the two-stream algorithm for statistical encoding that constitute a part of the hierarchical compression method. We compared experimentally our algorithm with ZIP and ARJ coders in the framework of the hierarchical compression method. One can include the proposed algorithm into any compression method where it is necessary to encode decorrelated signals with nonuniform density of probabilities.