Compression of Medical Images using Wavelet Transforms
Ruchika1, Mooninder Singh2, Anant Raj Singh3
1Ruchika, Department of Electrical & Instrumentation Engineering, Thapar University, Patiala, Punjab, India.
2Mooninder Singh, Department of Electrical & Instrumentation Engineering, Thapar University, Patiala, Punjab, India.
3Anant Raj Singh, Department of Electrical & Instrumentation Engineering, Thapar University, Patiala, Punjab, India.
Manuscript received on April 11, 2012. | Revised Manuscript received on April 14, 2012. | Manuscript published on May 05, 2012. | PP: 339-349 | Volume-2 Issue-2, May 2012 . | Retrieval Number: B0614042212/2012©BEIESP
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© The Authors. Published By: 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: Medical image compression is necessary for huge database storage in Medical Centres and medical data transfer for the purpose of diagnosis. Wavelet transforms present one such approach for the purpose of compression. The same has been explored in paper with respect to wide variety of medical images. In this approach, the redundancy of the medical image and DWT coefficients are reduced through thresholding and further through Huffman encoding. This paper presents a lossy image compression technique which works well over most of the medical images.
Keywords: Biorthogonal, DWT, Haar, Medical image compression, symlets.