Open AccessEntropy Based Estimation Algorithm using Break-up Images to Decrease Loss Compression Ratio
Author(s) -
B Gowri Sankaran,
B Karthik,
S. P. Vijayaragavan
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b3519.078219
Subject(s) - merge (version control) , compression ratio , algorithm , computer science , entropy (arrow of time) , data compression , data source , mathematics , data mining , parallel computing , engineering , physics , quantum mechanics , automotive engineering , internal combustion engine
Raring the source files after divide them into some numbers which may increase loss ratio. Acquired loss ratio which may be improved by raring the individual part of the source with the help of various algorithm because each algorithm which may provides various raring ratio on involution values. In this paper, identical compression results and evaluate involution values of divide source which may obtained, and an evaluate algorithm which may got based on the following results is specified. Our algorithms divide the source into 18 parts, which may raring the individual parts with various algorithm and merge the sources after raring is to be done. Raring output which show case that the acquiring our evaluated algorithm which may use the larger raring ratio over all the source raring techniques with the ratio of 10 % on a average and 30% on larger