Paper Info
Title
A Review On Block Matching Motion Estimation And Automata Theory Based Approaches For Fractal Coding
Abstract
Fractal compression is the lossy compression technique in the field of gray/color image and video compression. It gives high compression ratio, better image quality with fast decoding time but improvement in encoding time is a challenge. This review paper/article presents the analysis of most significant existing approaches in the field of fractal based gray/color images and video compression, different block matching motion estimation approaches for finding out the motion vectors in a frame based on inter-frame coding and intra-frame coding i.e. individual frame coding and automata theory based coding approaches to represent an image/sequence of images. Though different review papers exist related to fractal coding, this paper is different in many sense. One can develop the new shape pattern for motion estimation and modify the existing block matching motion estimation with automata coding to explore the fractal compression technique with specific focus on reducing the encoding time and achieving better image/video reconstruction quality. This paper is useful for the beginners in the domain of video compression.
Year
DOI
Venue
2016
10.9781/ijimai.2016.4214
INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE
Keywords
Field
DocType
Fractal Compression, Compression Ratio, Encoding Time, Decoding Time, Automata, Motion Estimation
Data mining,Block-matching algorithm,Quarter-pixel motion,Block Truncation Coding,Fractal compression,Computer science,Motion compensation,Artificial intelligence,Fractal transform,Context-adaptive binary arithmetic coding,Computer vision,Pattern recognition,Data compression
Journal
Volume
Issue
ISSN
4
2
1989-1660
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Shailesh D. Kamble133.12
Nileshsingh V. Thakur220.74
Preeti R. Bajaj38114.51