1 August 1990 Efficient compression of medical images through arithmetic coding
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Abstract
A new method for the noiseless compression of medical images is described. The method uses the wellknown DPCM technique (i.e. , linear prediction) for decorrelating a given image. However, instead of encoding the pixels of the decorrelated image using a memoryless model as in the conventional method, a source model with several conditioning events (or contexts) is employed. The contexts are based on the horizontal and vertical components of the gradient in the given image as well as the predicted value of a pixel. The statistics under each context of the model are obtained adaptively. In order to encode the decorrelated image as an outcome of such a complex source model, the powerful arithmetic coding technique is employed. Experimental results show that the new method can compress typical medical images 20% to 30% better than the conventional method.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tenkasi V. Ramabadran, Tenkasi V. Ramabadran, Keshi Chen, Keshi Chen, } "Efficient compression of medical images through arithmetic coding", Proc. SPIE 1234, Medical Imaging IV: PACS Systems Design and Evaluation, (1 August 1990); doi: 10.1117/12.19002; https://doi.org/10.1117/12.19002
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