Wavelet-based Interpolation Scheme for Resolution Enhancement of Medical Images

Authors:
Wen-Li Lee;Chun-Cheng Yang;Hsien-Tsai Wu;Mei-Juan Chen
Affiliations:
Department of Electrical Engineering, National Dong-Hwa University, Hualien, Taiwan and Department of Radiological Technology, Tzu Chi College of Technology, Hualien, Taiwan 97004;Department of Electrical Engineering, National Dong-Hwa University, Hualien, Taiwan;Department of Electrical Engineering, National Dong-Hwa University, Hualien, Taiwan;Department of Electrical Engineering, National Dong-Hwa University, Hualien, Taiwan
Venue:
Journal of Signal Processing Systems
Year:
2009

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Abstract

A novel interpolation method for resolution enhancement is proposed in this paper. This method estimates wavelet coefficients in the high frequency subbands from a low resolution image using our proposed filters. An inverse wavelet transform is then performed for synthesis of a higher resolution image. Experimental results show that our proposed method outperforms other commonly used schemes objectively and subjectively. In addition, the processing time required in an algorithm-implemented Digital Signal Processor (DSP) is satisfied. By using the DSP hardware platform, off-line interpolation processing becomes easier and more feasible. The interpolated image has merits of high contrast and remarkable sharpness which essentially meet the requirements for interpolation of medical images. Our method can provide better quality of interpolated medical images compared to other methods to assist physicians in making diagnoses.