Lossless Compression of Medical Image Sequences Using a Resolution Independent Predictor and Block Adaptive Encoding

Author:

Sharma Urvashi1,Sood Meenakshi1,Puthooran Emjee1

Affiliation:

1. Department of Electronics and Communication Engineering, Jaypee University of Information Technology

Abstract

The proposed block-based lossless coding technique presented in this paper targets at compression of volumetric medical images of 8-bit and 16-bit depth. The novelty of the proposed technique lies in its ability of threshold selection for prediction and optimal block size for encoding. A resolution independent gradient edge detector is used along with the block adaptive arithmetic encoding algorithm with extensive experimental tests to find a universal threshold value and optimal block size independent of image resolution and modality. Performance of the proposed technique is demonstrated and compared with benchmark lossless compression algorithms. BPP values obtained from the proposed algorithm show that it is capable of effective reduction of inter-pixel and coding redundancy. In terms of coding efficiency, the proposed technique for volumetric medical images outperforms CALIC and JPEG-LS by 0.70 % and 4.62 %, respectively.

Publisher

Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture

Cited by 7 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. Predictive Codec of Medical Image Compression Using Subb and Thresholding;2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS);2023-02-09

2. Region of interest based selective coding technique for volumetric MR image sequence;Multimedia Tools and Applications;2021-01-13

3. Analysis of Lossy and Lossless Compression Algorithms for Computed Tomography Medical Images Based on Bat and Simulated Annealing Optimization Techniques;Computational Intelligence Methods for Super-Resolution in Image Processing Applications;2021

4. Region of Interest-Based Coding Technique of Medical Images Using Varying Grading of Compression;International Journal of Image and Graphics;2020-12-19

5. A Comprehensive Overview of Fog Data Processing and Analytics for Healthcare 4.0;Fog Computing for Healthcare 4.0 Environments;2020-08-03

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