Title

Differentiation applied to lossless compression of medical images

Abstract

Lossless compression of medical images using a proposed differentiation technique is explored. This scheme is based on computing weighted differences hetween neighboring pixel values. The performance of the proposed approach, for the lossless compression of magnetic resonance (MR) images and ultrasonic images, is evaluated and compared with the lossless linear predictor and the lossless Joint Photographic Experts Group (JPEG) standard. The residue sequence of these techniques is coded using arithmetic coding. The proposed scheme yields compression measures, in terms of bits per pixel, that are comparable with or lower than those obtained using the linear predictor and the lossless JPEG standard, respectively, with 8-b medical images. The advantages of the differentiation technique presented here over the linear predictor are: 1) the coefficients of the differentiator are known by the encoder and the decoder, which eliminates the need to compute or encode these coefficients, and 2) the computational complexity is greatly reduced. These advantages are particularly attractive in real time processing for compressing and decompressing medical images. © 1996 IEEE.

Publication Date

12-1-1996

Publication Title

IEEE Transactions on Medical Imaging

Volume

15

Issue

4

Number of Pages

555-559

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/42.511758

Socpus ID

0030215236 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0030215236

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