Image compression techniques: A survey in lossless and lossy algorithms
Image compression techniques: A survey in lossless and lossy algorithms
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DOI：
10.1016/j.neucom.2018.02.094
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发表时间：
2018-07-26
期刊：
影响因子：
6
通讯作者：
Radi, Naeem
中科院分区：
文献类型：
--
作者：
Hussain, A. J.;Al-Fayadh, Ali;Radi, Naeem
随着技术的进步，通信网络的带宽不断增加。然而，新业务的推出和现有业务的扩展导致了对带宽的更高需求。这解释了目前在数据压缩领域投入的许多努力。这些工作的主要目标是开发对语音、图像和视频等信息源进行编码的技术，以减少表示源所需的比特数而不显著降低其质量。随着数字图像数据生成的大幅增加，图像压缩领域的研究活动也相应增加。目标是以最少的比特数表示图像，而不丢失其中的基本信息内容。图像携带三种主要类型的信息：冗余信息、无关信息和有用信息。冗余信息是信息的确定性部分，它可以从图像中包含的其他信息中复制而不会丢失。不相关信息是信息中具有大量细节的部分，这些细节超出了知觉意义的限制(即心理视觉冗余)。另一方面，有用的信息是信息的一部分，既不是多余的，也不是无关的。人类通常会观察解压后的图像。因此，它们的保真度受制于人类视觉系统的能力和局限性。本文综述了各种图像压缩技术及其局限性、压缩比，并重点介绍了医学图像压缩的研究现状。
The bandwidth of the communication networks has been increased continuously as results of technological advances. However, the introduction of new services and the expansion of the existing ones have resulted in even higher demand for the bandwidth. This explains the many efforts currently being invested in the area of data compression. The primary goal of these works is to develop techniques of coding information sources such as speech, image and video to reduce the number of bits required to represent a source without significantly degrading its quality.With the large increase in the generation of digital image data, there has been a correspondingly large increase in research activity in the field of image compression. The goal is to represent an image in the fewest number of bits without losing the essential information content within. Images carry three main type of information: redundant, irrelevant, and useful. Redundant information is the deterministic part of the information, which can be reproduced without loss from other information contained in the image. Irrelevant information is the part of information that has enormous details, which are beyond the limit of perceptual significance (i.e., psychovisual redundancy). Useful information, on the other hand, is the part of information, which is neither redundant nor irrelevant. Human usually observes decompressed images. Therefore, their fidelities are subject to the capabilities and limitations of the Human Visual System.This paper provides a survey on various image compression techniques, their limitations, compression rates and highlights current research in medical image compression.