Context-based lossless image compression
Organization
Coding and Information Transmission
Abstract
A specific feature of any digital image is a rather high correlation between its pixels. This property leads to inefficiency of any independent processing of the pixels. This problem can be partly solved by applying to the image various prediction techniques followed by the context coding, that is, splitting image data into statistically similar areas. Then, lossless coding techniques such as, for example, arithmetic coding are applied to these areas. The goal of the project is improving efficiency of lossless image coding by searching for the new system of contexts (rules for data splitting).
Graduation Theses defence year
2018-2019
Supervisor
Irina Bocharova, Vitaly Skachek
Spoken language (s)
English
Requirements for candidates
Level
Bachelor, Masters
Keywords
Application of contact
Name
Irina Bocharova, Vitaly Skachek
Phone