Title: A near lossless three-dimensional medical image compression technique using 3D-discrete wavelet transform

Authors: S. Boopathiraja; P. Kalavathi

Addresses: Department of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Tamil Nadu, India ' Department of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Tamil Nadu, India

Abstract: In the field of medical image processing, there are several imaging modalities that emerged and produced high quality of images that imposes to greater amount of storage space as well as bandwidth for transmission. Therefore, there is always a great need to develop compression techniques on such images. Moreover, they produce three-dimensional images by sequence of 2D slices and process each as like 2D image. Therefore, it is essential that every medical image processing operation needs to converge on 3D space (three-dimensional image). In this paper, we provide the wavelet-based image compression technique that can be directly applied on the 3D images itself. We apply 3D DWT on a 3D volume and the resultant coefficients are taken to further compression process (like thresholding, entropy encoding). The inverse processes are performed for decompression to reconstruct the images. The effects of the results based on different wavelets are assessed and the results of lossy mode are compared in terms to lossless mode.

Keywords: 3D medical image; near lossless compression; transform coding; 3D volumetric images; 3D-DWT; thresholding based compression; entropy encoding; Huffman coding; magnetic resonance imaging; computed tomograpy.

DOI: 10.1504/IJBET.2021.113731

International Journal of Biomedical Engineering and Technology, 2021 Vol.35 No.3, pp.191 - 206

Received: 20 Nov 2017
Accepted: 27 Feb 2018
Published online: 22 Mar 2021 *

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