Lossless medical image compression using integer transforms and predictive coding technique

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dc.contributor.author Neela, Divya
dc.date.accessioned 2010-08-12T13:12:55Z
dc.date.available 2010-08-12T13:12:55Z
dc.date.issued 2010-08-12T13:12:55Z
dc.identifier.uri http://hdl.handle.net/2097/4615
dc.description.abstract The future of healthcare delivery systems and telemedical applications will undergo a radical change due to the developments in wearable technologies, medical sensors, mobile computing and communication techniques. E-health was born with the integration of networks and telecommunications when dealing with applications of collecting, sorting and transferring medical data from distant locations for performing remote medical collaborations and diagnosis. Healthcare systems in recent years rely on images acquired in two dimensional (2D) domain in the case of still images, or three dimensional (3D) domain for volumetric images or video sequences. Images are acquired with many modalities including X-ray, positron emission tomography (PET), magnetic resonance imaging (MRI), computed axial tomography (CAT) and ultrasound. Medical information is either in multidimensional or multi resolution form, this creates enormous amount of data. Efficient storage, retrieval, management and transmission of this voluminous data is extremely complex. One of the solutions to reduce this complex problem is to compress the medical data losslessly so that the diagnostics capabilities are not compromised. This report proposes techniques that combine integer transforms and predictive coding to enhance the performance of lossless compression. The performance of the proposed techniques is evaluated using compression measures such as entropy and scaled entropy. en_US
dc.language.iso en_US en_US
dc.publisher Kansas State University en
dc.subject Lossless image compression en_US
dc.title Lossless medical image compression using integer transforms and predictive coding technique en_US
dc.type Report en_US
dc.description.degree Master of Science en_US
dc.description.level Masters en_US
dc.description.department Department of Electrical and Computer Engineering en_US
dc.description.advisor D. V. Satish Chandra en_US
dc.subject.umi Engineering, Electronics and Electrical (0544) en_US
dc.date.published 2010 en_US
dc.date.graduationmonth August en_US

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