Medical image interpolation method based on similarity analysis of discrete wavelet transforms

Shichun Peng; Jian Liu

doi:10.1117/12.750197

14 November 2007 Medical image interpolation method based on similarity analysis of discrete wavelet transforms

Shichun Peng, Jian Liu

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 678912 (2007) https://doi.org/10.1117/12.750197
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

A new interpolation method based on multi-resolution technique is presented and used for medical image zooming. The aim of this work is to focus on similarity analysis of adjacent sub-bands provided by Discrete Wavelet Transform (DWT) to enhance the accuracy of the interpolation. First, decompose the original image into sub-bands by the DWT; second, consider the similarity between adjacent sub-bands to calculate the high frequency components; third, use the original image as the low frequency component and apply the inverse DWT to obtain the final interpolation result. Experimental results on magnetic resonance (MR) images and positron emission tomography (PET) images illustrate the effectiveness of the proposed method.

Citation Download Citation

Shichun Peng and Jian Liu "Medical image interpolation method based on similarity analysis of discrete wavelet transforms", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 678912 (14 November 2007); https://doi.org/10.1117/12.750197

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