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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7642
Title: Optimization of block size for DCT-based medical image compression
Authors: Singh S.
Kumar V.
Verma H.K.
Published in: Journal of Medical Engineering and Technology
Abstract: In view of the increasing importance of medical imaging in healthcare and the large amount of image data to be transmitted/stored, the need for development of an efficient medical image compression method, which would preserve the critical diagnostic information at higher compression, is growing. Discrete cosine transform (DCT) is a popular transform used in many practical image/video compression systems because of its high compression performance and good computational efficiency. As the computational burden of full frame DCT would be heavy, the image is usually divided into non-overlapping sub-images, or blocks, for processing. This paper aims to identify the optimum size of the block, in reference to compression of CT, ultrasound and X-ray images. Three conflicting requirements are considered, namely processing time, compression ratio and the quality of the reconstructed image. The quantitative comparison of various block sizes has been carried out on the basis of benefit-to-cost ratio (BCR) and reconstruction quality score (RQS). Experimental results are presented that verify the optimality of the 16 x 16 block size. © 2007 Informa UK Ltd.
Citation: Journal of Medical Engineering and Technology (2007), 31(2): 129-143
URI: https://doi.org/10.1080/03091900500421255
http://repository.iitr.ac.in/handle/123456789/7642
Issue Date: 2007
Keywords: Data compression
Discrete cosine transform (DCT)
Medical image compression
Optimization of block size
Telemedicine
ISSN: 3091902
Author Scopus IDs: 57199224674
25646515800
57204684351
Author Affiliations: Singh, S., Electrical Engineering Department, Indian Institute of Technology, Roorkee 247 667, Uttaranchal, India
Kumar, V., Electrical Engineering Department, Indian Institute of Technology, Roorkee 247 667, Uttaranchal, India
Verma, H.K., Electrical Engineering Department, Indian Institute of Technology, Roorkee 247 667, Uttaranchal, India
Funding Details: The authors are thankful to the Department of Electrical Engineering, Indian Institute of Technology Roorkee, for providing the facilities to carry out this work. Sukhwinder Singh is also grateful to Sant Longowal Institute of Engineering & Technology, Longowal (PB) for sponsoring him for doctoral research work, and to the Ministry of Human Resources and Development, Government of India for providing financial assistance.
Corresponding Author: Kumar, V.; Electrical Engineering Department, Indian Institute of Technology, Roorkee 247 667, Uttaranchal, India; email: vinodfee@iitr.ernet.in
Appears in Collections:Journal Publications [EE]

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