Wavelet-based Interpolation Scheme for Resolution Enhancement of Medical Images

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.

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