USING LINEAR FRACTAL INTERPOLATION FUNCTIONS TO COMPRESS VIDEO IMAGES

Author:

ALI MAARUF1,CLARKSON TREVOR G.1

Affiliation:

1. Communications Research Group, Dept. of Electronic and Electrical Engineering, King's College London, Strand, London WC2R 2LS, U.K.

Abstract

This paper describes the novel application of using linear fractal interpolation functions (FIFs) to model video signals represented as single-valued discrete-time sequences to compress video images. The problem is data compression of full-motion broadband television signals. The viability of using FIFs to model video signals is shown by modelling test static image frames. Compression ratios, SNRs and compression-decompression times are reported. Extension of this work to compress motion video is described. Finally the images are analysed by calculating and plotting the fractal dimensions of each line in the frame against the line for that image.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Geometry and Topology,Modelling and Simulation

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Non-stationary α-fractal functions and their dimensions in various function spaces;Indagationes Mathematicae;2024-01

2. Remarks on the integral transform of non-linear fractal interpolation functions;Chaos, Solitons & Fractals;2023-08

3. Interpolation type iterated function systems;Journal of Mathematical Analysis and Applications;2023-03

4. Obstetric Ultrasound Modelling and Analysis with Fractal Interpolation Methods;Current and Future Trends in Health and Medical Informatics;2023

5. Univariable affine fractal interpolation functions;Theoretical and Mathematical Physics;2021-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3