Manuscript Number : SHISRRJ192118

HADOOP based Picture Pressure and Amassed Approach for Lossless Compression

Authors(3) :-T. Samatha, B. Sunil Kumar, N. Venkata Vinod Kumar

Computerized picture preparing is a renowned and developing field of utilization underneath software engineering building. The uses of computerized picture handling are medicinal imaging, satellite imaging, and video in which the measure of the picture or picture stream estimate is huge and needs tremendous volume of storage room or else high transmission capacity for correspondence in its genuine frame. In such applications, Image pressure techniques are used proficiently. Picture pressure is extensively isolated into two fundamental sorts: lossless and loss pressure. Here, Loss pressure manages pressure conspires that have resilience for some specific measure of mistake, that is, the compacted and the decompressed pictures may not be indistinguishable. Lossless picture pressure plans keep the data with the intension that exact revamping of the picture is plausible from the packed information. In this exploration work, past lossless pressure procedures are reviewed and after that returns to investigate the benefits and deficiencies of these techniques. This examination like wise given trial assessment of different present day lossless pressure calculations that were accounted for in the writing. The exploratory outcomes are directed and it is contrasted against one another with locate the better methodology under different execution estimates, for example, Mean Square Error (MSE), Compression Ratio (CR), and Peak Signal to Noise Ratio (PSNR) for openly accessible picture informational collections to examination better procedure.

Authors and Affiliations

T. Samatha
Computer Science and Engineering, AITS, Tirupati, Andhra Pradesh, India
B. Sunil Kumar
Computer Science and Engineering, AITS, Tirupati, Andhra Pradesh, India
N. Venkata Vinod Kumar
Computer Science and Engineering, AITS, Tirupati, Andhra Pradesh, India

CR, PSNR, MSE, Medicinal Imaging, Satellite Imaging, HADOOP, Lossless Compression, Mean Square Error, Discrete Fourier Transform, Discrete Cosine Transform

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Publication Details

Published in : Volume 2 | Issue 1 | January-February 2019
Date of Publication : 2019-01-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 92-98
Manuscript Number : SHISRRJ192118
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

T. Samatha, B. Sunil Kumar, N. Venkata Vinod Kumar, "HADOOP based Picture Pressure and Amassed Approach for Lossless Compression", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 2, Issue 1, pp.92-98, January-February.2019
URL : https://shisrrj.com/SHISRRJ192118

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