An Effective Image Matrix Compression Technique for Medical Pitch
A. Ramachandran1, E. K. Subramanian2, J. Jegan3
1A. Ramachandran, Assistant Professor, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Science, Chennai (Tamil Nadu), India.
2E. K. Subramanian, Assistant Professor, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Science, Chennai (Tamil Nadu), India.
3J. Jegan, Associate Professor, Sreenivasa Institute of Technology and Management Studies, Chittoor (Andhra Pradesh), India.
Manuscript received on 25 April 2019 | Revised Manuscript received on 07 May 2019 | Manuscript Published on 17 May 2019 | PP: 401-405 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F10790476S419/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: An image volume is one of the most significant properties. The million and billions of medical image storage is very challenging in digital fashion. The ultimate goal of technique for compression is to minimize the volume of medical image by identifying as well as removing the redundant pixel values. The numerous transform technique has been used in digital image compression standards. The basic image transform techniques are Cosine and Wavelet Transform types. The existing techniques still needs improvement in compression ratio. So, a new image matrix technique is proposed for effective image compression in the medical pitch. The newly proposed medical image compression is an Effective Hybrid Technique (EHT). EHT compute the Image Quality (IQ) and Compression Ratio (CR) of medical pictures. The image quality is calculated by EHT using signal noise performance and error values. The different image formats have been used for proposed image compression experiments and achieved good CR compare to existing techniques.
Keywords: Compression Ratio, Image Matrix, Digital Image, Redundant Pixel, Hybrid Transform, Image Quality.
Scope of the Article: Image Security