A General Survey on Lossy Compression Algorithms for Online Learning Images in Cloud Environments

Author:

Sivakumar, R. D. 1,Ruba Soundar K. 2

Affiliation:

1. Bharathiar University, Coimbatore

2. Mepco Schlenk Engineering College, Sivakasi

Abstract

This paper presents the important inferences derived from the literature survey. A study of the literature available on the current problem reveals a large number of available techniques. Some of these techniques are mentioned. All these techniques suffer from various drawbacks like measuring image quality parameters and how much storage space occupy in the cloud environment. An extensive survey was made on the issues such as image compression and its features, image compression methods, existing compression algorithms, new proposed compression algorithm and their impact, the various levels of image compression in BTC were analyzed.

Publisher

Naksh Solutions

Subject

General Medicine

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