Paper Info
Title
Dna Based Image Coding
Abstract
Lossless image compression is necessary for many applications related to digital cameras, medical imaging, mobile telecommunications, security and entertainment. Image compression as an important filed in image processing, includes several coding standards providing high compression ratios. In this work a novel method for lossless image encoding and decoded is introduced. Inspired by the storing and data representation architectures used in living multicellular organisms, the proposed DNACoding approach encodes images based on the same principles. The coding process includes three main stages, division, differentiation and specialization allowing the exploitation of spatial and inter-pixel redundancies. The key element to achieve that representation and efficiency is the novel concept of 'stem' pixels that is introduced. A comparative study was performed with current state of the art lossless image coding standards showing that the proposed methodology provides high compression rations.
Year
DOI
Venue
2015
10.1109/ICDSP.2015.7251916
2015 IEEE INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP)
Keywords
Field
DocType
image coding, DNA, lossless compression
Tunstall coding,Lossless JPEG,Computer vision,Lossy compression,Pattern recognition,Computer science,JPEG,Artificial intelligence,Data compression,Image compression,Context-adaptive binary arithmetic coding,Lossless compression
Conference
Citations 
PageRank 
References 
0
0.34
10
Authors
1
Name
Order
Citations
PageRank
Vasileios Argyriou127930.51