IBRAHIM ABDULAI SAWANEH
DIRECTOR OF ACADEMIC AFFAIRS - IAMTECH
AUTHOR: IBRAHIM ABDULAI SAWANEH, DIRECTOR OF ACADEMIC AFFAIRS AT THE INSTITUTION OF ADVANCED MANAGEMENT AND TECHNOLOGY - IAMTECH
19th December, 2018
ABSTRACT
There are calls for enhancing present healthcare sectors when it comes to handling huge data size of patients’ records. The huge files contain lots of duplicate copies. Therefore, the ideal of compression comes into play. Image data compression removes redundant copies (multiple unnecessary copies) that increase the storage space and transmission bandwidth. Image data compression is pivotal as it helps reduce image file size and speeds up file transmission rate over the internet through multiple wavelet analytics methods without loss in the transmitted medical image data. Therefore this report presents data compression implementation for healthcare systems using a proposed scheme of discrete wavelet transform (DWT), with capacity of compressing and recovering medical image data without data loss. Healthcare images such as those of human heart and brain need fast transmission for reliable and efficient result. Using DWT which has optimal reconstruction quality greatly improves compression.
KEYWORDS
Discrete Wavelet Transform (DWT), Image Compression Medical Image
REFERENCES
[1] Y. Hao and R. Foster, “Wireless body sensor networks for health-monitoring applications,” Phys. Meas., vol.29, pp.R27-R56, Nov. 2008.
[2] K. W. Goh, J. Lavanya, Y. Kim, E. K. Tan, and C. B. Soh, “A PDA-based ECG Beat Detector for Home Cardiac care,” in IEEE Engineering in Medicine and Biology Society, Shanghai, China, 2005, pp.375-378.
[3] P. Bonato, “Advances in Wearable Technology and Applications in Physical Medicine and Rehabilitation,” J. NeuroEng. Rehabil, vol. 2, p. 2, Feb. 2005.
[4] U. Varshney, “Pervasive Healthcare and Wireless Health Monitoring,” Mobile Networks and Applications, vol. 12, pp. 113-127, March 2007.
[5] Liu Bo, Yang Zhaorong, “Image Compression Based on Wavelet Transform”, International Conference on Measurement, Information and Control (MIC), 2012
[6] Remya George, Mrs. Manimekalai, “A Novel Approach for Image Compression Using Zero Tree Coding”, International Conference on Electronics and Communication System (ICECS -2014), Coimbatore, India
[7] S. Bhavani, K. Thanushkodi, “A Survey on Coding Algorithms in Medical Image Compression”, International Journal on Computer Science and Engineering, Vol. 02, No. 05, pp. 1429-1434, 2010.
