TITLE:
Adaptive Lossy Image Compression Based on Singular Value Decomposition
AUTHORS:
Marcos Roberto e Souza, Helio Pedrini
KEYWORDS:
Image Compression, Adaptive Decomposition, Lossy Compression
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.10 No.3,
August
8,
2019
ABSTRACT: Image compression techniques aim to reduce redundant information in order
to allow data storage and transmission in an efficient way. In this work, we
propose and analyze a lossy image compression method based on the singular
value decomposition using an optimal choice of eigenvalues and an adaptive
mechanism for block partitioning. Experiments are conducted on several images
to demonstrate the effectiveness of the proposed compression method in
comparison with the direct application of the singular value decomposition.