A survey of image compression methods for low depth-of-field images and image sequences

The popularity of multimedia applications has resulted in development of lossless and lossy compression techniques. Many image compression methods clustered under these two compression techniques are discussed briefly in this article. In addition to this context, the survey paper gives a study of th...

Full description

Saved in:
Bibliographic Details
Published in:Multimedia tools and applications 2015-09, Vol.74 (18), p.7943-7956
Main Authors: Kavitha, S., Anandhi, R. J.
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Coding
Computer Communication Networks
Computer Science
Data compression
Data Structures and Information Theory
Design engineering
Dictionaries
Digital video
Guidelines
Image coding
Image compression
Image processing systems
JPEG encoders-decoders
Methods
Multimedia
Multimedia computer applications
Multimedia Information Systems
Special Purpose and Application-Based Systems
Studies
Video compression
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The popularity of multimedia applications has resulted in development of lossless and lossy compression techniques. Many image compression methods clustered under these two compression techniques are discussed briefly in this article. In addition to this context, the survey paper gives a study of the recent algorithms that are available for coding low Depth-of-Field (DOF) images and also covers its extension for depth map image sequence coding. Motivation behind this work is to provide a detailed analysis of these algorithms such as the methodology used, merits and demerits, and the objective and subjective comparison of these algorithms with the standard compression algorithms like JPEG, JPEG 2000, H.261/AVC etc. Further, the paper concludes with a guideline for the new researchers in this field which concerns the design of an efficient compression method for low DOF images and depth map image sequences.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-014-2032-0