Lossy Images Compression Based on Multiresolution | Zendy

Rana talib Gdeeb | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Lossy Images Compression Based on Multiresolution

Author(s) -

Rana talib Gdeeb

Publication year - 2018

Publication title -

al-mustansiriyah journal of science

Language(s) - English

Resource type - Journals

eISSN - 2521-3520

pISSN - 1814-635X

DOI - 10.23851/mjs.v29i2.242

Subject(s) - lossy compression , data compression , computer science , coding (social sciences) , algorithm , image compression , compression ratio , multiresolution analysis , compression (physics) , context adaptive binary arithmetic coding , artificial intelligence , computer vision , mathematics , image processing , image (mathematics) , statistics , wavelet transform , engineering , materials science , wavelet , discrete wavelet transform , composite material , internal combustion engine , automotive engineering

A hybrid lossy compression system was presented in this paper. It was based on combining the multiresolution coding together with a polynomial approximation of linear base to decompose grey images followed by an efficient coding. The test results showed promising performance where the compression ratio improved about three times or more compared with the results of the traditional linear predicting coding system.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research