Lossless Image Compression Via Bit-Plane Separation and Multilayer Context

Published in Journal

Journal of Advances in Science and Technology [JAST] (Vol:8/ Issue: 16) DOI: 10.29070/JAST
Authors: Ranjeet Yadav, R. Ravi Chandran,
Subjects: Science & Technology

Year: Feb, 2015
Volume: 8 / Issue: 16
Pages: 0 - 0 (0)
Publisher: Ignited Minds Journals
Source:
E-ISSN: 2230-9659
DOI:
Published URL: http://ipublisher.in/I/a/3587
Published On: Feb, 2015

Article Details

Lossless Image Compression Via Bit-Plane Separation and Multilayer Context |

Ranjeet Yadav, R. Ravi Chandran, in Journal of Advances in Science and Technology | Science & Technology

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ABSTRACT:

Lossless image compression is needed forapplications that cannot tolerate any degradation of original imagery data,e.g., medical applications such as mammography, angiography, and x-rays. It isessential that the decompressed image does not contain any degradation inquality, since it could lead to misdiagnosis and health injury. Satellite orgeographical map images are another case where distortion caused by compressioncannot be tolerated. In this paper we focused about Lossless Image Compressionvia Bit-Plane Separation and Multilayer Context.