A Review on Block Matching Motion Estimation and Automata Theory based Approaches for Fractal Coding

• Main Authors: Shailesh Kamble, Nileshsingh Thakur, Preeti Bajaj
• Format: Article
• Language: English
• Published: Universidad Internacional de La Rioja (UNIR) 2016-12-01
• Series: International Journal of Interactive Multimedia and Artificial Intelligence
• Subjects: Compression; Decoding Time; Fractal Theory; Motion Estimation
• Online Access: http://www.ijimai.org/journal/node/1455

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.