Review on Image Representation Compression and Retrieval Approaches

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Author(s): Lalit B. Damahe (Yeshwantao Chavan College of Engineering, India)and Nileshsingh V. Thakur (Nagpur Institute of Technology, India)
Copyright: 2019
Pages: 29
Source title: Technological Innovations in Knowledge Management and Decision Support
Source Author(s)/Editor(s): Nilanjan Dey (Department of Information Technology, Techno India College of Technology, Kolkata, India)
DOI: 10.4018/978-1-5225-6164-4.ch009

Keywords: Business & Management / Decision Support Systems / Information Science Reference / Knowledge Management

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Abstract

Image representation and compression is one of the important fields of computer vision that contribute to the reduction of size of an image and other types of application areas such as image restoration, retrieval, etc. Image representation is important with respect to storage of image information, and it further extends to the compression, which may be lossy or lossless. Image compression can be applied to various applications which mainly include medical imaging, traffic monitoring, military, multimedia transmission, smart cell devices, and almost in all the domains that require less transmission and storage cost, specifically image retrieval processing. This chapter presents the various image representation compression and retrieval approaches. The retrieval approaches on personal computer and smart cell devices are discussed. Finally, the key issues are identified for image representation compression and retrieval on the basis of performance evaluation parameters like encoding time, decoding time, compression ratio, precision, recall, and elapsed time.

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Review on Image Representation Compression and Retrieval Approaches

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